As a Senior Risk Engineer, you'll identify, plan, design and execute operational process reviews and reviews of system implementations, applications and other IT-related risk area while working cross-functionally and in collaboration with various teams including Engineering, Product Management, Operations and Finance. You'll be interacting with subject matter experts across Alphabet to understand and communicate how key technology elements (i.e. code) address specific risks. Leading ad hoc analyses of data and developing repeatable methods to ensure a consistent result while contributing to Google's internal knowledge base will be a core responsibility.
Minimum qualifications:
Bachelor's degree in MIS, Engineering, Computer Science, Mathematics, related field, or equivalent practical experience.
7 years experience in Risk Management, Audit, Compliance (MRC, ISO 27001, PCI, HIPAA, NIST, SOC, similar compliance frameworks), Systems Integration, Consulting, or related experience.
Proficient in SQL and one of the following: Java, Python, C++, R, TensorFlow, Julia, Scala, MATLAB, SAS.
Preferred qualifications:
CISA/CISSP/PMP/CIA or related certification.
Experience in technology consulting, system auditing, privacy, cyber-security, e-commerce, e-money licensing, digital/online advertising, cloud, online payment regulations, anti-money laundering, online media, entertainment, online content licensing royalty management, software development, supply chain systems/processes, hardware manufacturing, financial processes/systems, mergers and acquisitions, project systems integration, risk management, data analytics.
Experience with internet technology from technical, regulatory, or commercial perspective.
Ability to navigate complex systems and manage multiple projects.
Ability to interact with SMEs to understand how code addresses risk. Ability to communicate across levels, set objectives, and drive results.
About the job:
Internal Audit‘s mission is to protect and enable growth across Alphabet, Google and our Bets with objective, practical insights. We do this by monitoring the risk environment across Alphabet and providing insights to enable effective risk management. We work closely with teams and leadership to achieve a strong control environment that enhances and protects organizational value. We serve as one of the company’s various lines of defense for staffing and developing our team to be control experts who deliver objective and reliable results. As a member of the team, you’ll advise the business and engineering groups to identify areas of risk and make valuable recommendations on controls. You’ll have the opportunity to influence change and decisions for business initiatives including product launches and system implementations. You enjoy working in a dynamic environment, are passionate about technology and are able to focus on key issues and the details that come with it.
The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know.
Dec 09, 2019
Full-time
As a Senior Risk Engineer, you'll identify, plan, design and execute operational process reviews and reviews of system implementations, applications and other IT-related risk area while working cross-functionally and in collaboration with various teams including Engineering, Product Management, Operations and Finance. You'll be interacting with subject matter experts across Alphabet to understand and communicate how key technology elements (i.e. code) address specific risks. Leading ad hoc analyses of data and developing repeatable methods to ensure a consistent result while contributing to Google's internal knowledge base will be a core responsibility.
Minimum qualifications:
Bachelor's degree in MIS, Engineering, Computer Science, Mathematics, related field, or equivalent practical experience.
7 years experience in Risk Management, Audit, Compliance (MRC, ISO 27001, PCI, HIPAA, NIST, SOC, similar compliance frameworks), Systems Integration, Consulting, or related experience.
Proficient in SQL and one of the following: Java, Python, C++, R, TensorFlow, Julia, Scala, MATLAB, SAS.
Preferred qualifications:
CISA/CISSP/PMP/CIA or related certification.
Experience in technology consulting, system auditing, privacy, cyber-security, e-commerce, e-money licensing, digital/online advertising, cloud, online payment regulations, anti-money laundering, online media, entertainment, online content licensing royalty management, software development, supply chain systems/processes, hardware manufacturing, financial processes/systems, mergers and acquisitions, project systems integration, risk management, data analytics.
Experience with internet technology from technical, regulatory, or commercial perspective.
Ability to navigate complex systems and manage multiple projects.
Ability to interact with SMEs to understand how code addresses risk. Ability to communicate across levels, set objectives, and drive results.
About the job:
Internal Audit‘s mission is to protect and enable growth across Alphabet, Google and our Bets with objective, practical insights. We do this by monitoring the risk environment across Alphabet and providing insights to enable effective risk management. We work closely with teams and leadership to achieve a strong control environment that enhances and protects organizational value. We serve as one of the company’s various lines of defense for staffing and developing our team to be control experts who deliver objective and reliable results. As a member of the team, you’ll advise the business and engineering groups to identify areas of risk and make valuable recommendations on controls. You’ll have the opportunity to influence change and decisions for business initiatives including product launches and system implementations. You enjoy working in a dynamic environment, are passionate about technology and are able to focus on key issues and the details that come with it.
The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
At Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know.
Metropolitan Transportation Commission
San Francisco, CA, USA
Assistant/Associate Program Coordinator - Asset Management San Francisco, CA $87,984.00 - $128,648.00 Annually
THIS POSITION IS OPEN UNTIL FILLED AND MAY BE CLOSED AT ANYTIME
IF YOU ARE INTERESTED IN THIS OPPORTUNITY, WE ENCOURAGE YOU TO APPLY IMMEDIATELY
ABOUT MTC
The Metropolitan Transportation Commission (MTC) is the transportation planning, financing and coordinating agency for the nine-county San Francisco Bay Area. For more information about MTC, visit mtc.ca.gov.
MTC was created by the California Legislature in 1970. The federal government, state Legislature and Bay Area voters have assigned MTC a wide-ranging portfolio of duties. MTC directly distributes more than $700 million a year to local public transit agencies and other recipients, and prioritizes requests from local agencies for millions more in scarce state and federal funds. Acting as the Bay Area Toll Authority (BATA), MTC collects in excess of $600 million a year in bridge tolls, and allocates these funds for the operation and upkeep of the region's seven state-owned toll bridges. We plan, invest and coordinate to keep the Bay Area mobile, sustainable and prosperous. We are committed to preserving the diverse communities and natural beauty that make the Bay Area a desirable place to live and work, while addressing the needs of a growing population.
About the Position
The Program Coordinator - Asset Management position will be filled at either the Assistant or Associate level and is under the supervision of the Principal - Asset Management.
The person in this position will support the transportation asset management program, as well as project-related database integration and analysis efforts, and manage other programs as necessary.
The primary focus of the position will be on supporting the following:
Data integration workflows and providing primary database administrative support for multiple projects;
Enhancement and maintenance to the existing Regional Transit Capital Inventory, (a comprehensive regional database of the transit assets that are owned by transit agencies in the San Francisco Bay Area);
Implementation of regional transit asset management systems in response to federal authorization;
Coordination of asset management activities with the transit operators; and
Other duties as may be assigned, to include local streets and roads and highway asset management programs as needed.
SKILLS AND ABILITIES
The ideal candidate will have the following knowledge, skills and abilities:
Ability to:
Work with large and diverse data sets
Work with a variety of spatial data formats, including ArcGIS common formats (shapefile, gdb, arcsde) and WKT/GeoJSON
Communicate clearly and concisely (both orally and in writing)
Create repeatable workflows for integrating disparate datasets/databases
Prioritize and undertake multiple tasks
Research and analyze complex and technical issues
Document and translate technical analyses for policy makers and lay audiences, and apply data to practical uses for achieving broad policies
Carry assignments through to completion, on time and with minimal supervision
Represent MTC and develop consensus among local agencies
Prepare correspondence, reports, and presentations to a wide variety of audiences
Work independently.
Knowledge of:
Microsoft SQL Server/MySQL/PostgreSQL or transferrable knowledge of other database platforms
Advanced Excel (Pivot Tables, Spreadsheet Models, Advanced functions, LOOKUPS, Conditional Functions, String Manipulation)
Databases conceptual and physical design, creation, management and optimization techniques or have an understanding of data APIs and how they can be used to share data between different databases/systems
ArcGIS / ArcGIS Server / ArcGIS Online
Quantitative analysis
Desirable Skills/Experience:
Prior TERM Lite experience
Knowledge of Github/Git for code version control
Tableau or other visualization software
Front end web development HTML, Javascript, CSS. (Bootstrap and Angular JS are a plus)
Understanding of transit operations
Understanding of capital asset costing and life cycle planning
Understand transportation planning principles and policy
MINIMUM QUALIFICATIONS
An appropriate combination of education and experience that has provided the required knowledge, skills and abilities is qualifying. A typical way of obtaining the required qualifications is:
Education:
Completion of a bachelor's degree from an accredited college or university, in an appropriate field related to the area of assignment, such as transportation planning, project management, public finance, transportation engineering, economics, business or public administration, or a related discipline. (Applicants with a degree issued from an institution outside of the United States must have their transcripts evaluated by an academic accrediting service and provide proof of equivalency along with the application.).
A Master's degree is preferred.
Experience:
One year of experience in an appropriate field related to the area of assignment.
Preference will be given to applicants with additional professional work experience.
License/Certificate:
Possession of a valid California Class C driver's license and a safe driving record, or the ability to provide alternate transportation which is approved by the appointing authority.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Under the supervision of the Principal - Asset Management, the essential duties and responsibilities include, but are not limited to, the following:
Project Support:
Coordination of asset management activities with the transit operators.
Enhancement and maintenance to the existing Regional Transit Capital Inventory (a comprehensive regional database of the transit assets that are owned by transit agencies in the San Francisco Bay Area).
Support the development of workflows for the integration of spatial data from multiple project databases (e.g. Regional Transportation Plan and Transportation Improvement Program databases).
Work with consultants, staff, and transit agencies, on strategic planning efforts related to transit asset management.
Prepare and present materials for Commission consideration; follow agency procedures and standards and work cooperatively with project sponsors and MTC staff to ensure that materials are timely, accurate, and professional.
Database Administration:
Data integration workflows and providing primary database administrative support for multiple projects.
Policy Analysis:
Perform complex policy analysis related to state and regional transportation projects and programs.
Technical/Data Analysis:
Research and analyze complex and technical issues.
Work with large and diverse data sets.
Create repeatable workflows for integrating disparate datasets/databases,
Document and translate technical analyses for policy makers and lay audiences, and apply data to practical uses for achieving broad policies,
Maintain a regional transportation asset inventory for the Bay Area's transit systems (RTCI). Ensure data from the systems are consistent and regionally compatible.
Analyze, synthesize, and project future needs and utilize FTA software called TERM Lite.
Assist with activities related to a regional Safety/Vision Zero program; specifically, around development of a regional safety data system, rolling out safety policies and coordination of a regional Safety/Vision Zero task force.
Policy Development:
Support Transportation Asset Management implementation and policy development.
The Program Coordinator - Asset Management will perform other job related duties as assigned.
All employees at MTC are classified as Disaster Services Workers.
Dec 03, 2019
Full-time
Assistant/Associate Program Coordinator - Asset Management San Francisco, CA $87,984.00 - $128,648.00 Annually
THIS POSITION IS OPEN UNTIL FILLED AND MAY BE CLOSED AT ANYTIME
IF YOU ARE INTERESTED IN THIS OPPORTUNITY, WE ENCOURAGE YOU TO APPLY IMMEDIATELY
ABOUT MTC
The Metropolitan Transportation Commission (MTC) is the transportation planning, financing and coordinating agency for the nine-county San Francisco Bay Area. For more information about MTC, visit mtc.ca.gov.
MTC was created by the California Legislature in 1970. The federal government, state Legislature and Bay Area voters have assigned MTC a wide-ranging portfolio of duties. MTC directly distributes more than $700 million a year to local public transit agencies and other recipients, and prioritizes requests from local agencies for millions more in scarce state and federal funds. Acting as the Bay Area Toll Authority (BATA), MTC collects in excess of $600 million a year in bridge tolls, and allocates these funds for the operation and upkeep of the region's seven state-owned toll bridges. We plan, invest and coordinate to keep the Bay Area mobile, sustainable and prosperous. We are committed to preserving the diverse communities and natural beauty that make the Bay Area a desirable place to live and work, while addressing the needs of a growing population.
About the Position
The Program Coordinator - Asset Management position will be filled at either the Assistant or Associate level and is under the supervision of the Principal - Asset Management.
The person in this position will support the transportation asset management program, as well as project-related database integration and analysis efforts, and manage other programs as necessary.
The primary focus of the position will be on supporting the following:
Data integration workflows and providing primary database administrative support for multiple projects;
Enhancement and maintenance to the existing Regional Transit Capital Inventory, (a comprehensive regional database of the transit assets that are owned by transit agencies in the San Francisco Bay Area);
Implementation of regional transit asset management systems in response to federal authorization;
Coordination of asset management activities with the transit operators; and
Other duties as may be assigned, to include local streets and roads and highway asset management programs as needed.
SKILLS AND ABILITIES
The ideal candidate will have the following knowledge, skills and abilities:
Ability to:
Work with large and diverse data sets
Work with a variety of spatial data formats, including ArcGIS common formats (shapefile, gdb, arcsde) and WKT/GeoJSON
Communicate clearly and concisely (both orally and in writing)
Create repeatable workflows for integrating disparate datasets/databases
Prioritize and undertake multiple tasks
Research and analyze complex and technical issues
Document and translate technical analyses for policy makers and lay audiences, and apply data to practical uses for achieving broad policies
Carry assignments through to completion, on time and with minimal supervision
Represent MTC and develop consensus among local agencies
Prepare correspondence, reports, and presentations to a wide variety of audiences
Work independently.
Knowledge of:
Microsoft SQL Server/MySQL/PostgreSQL or transferrable knowledge of other database platforms
Advanced Excel (Pivot Tables, Spreadsheet Models, Advanced functions, LOOKUPS, Conditional Functions, String Manipulation)
Databases conceptual and physical design, creation, management and optimization techniques or have an understanding of data APIs and how they can be used to share data between different databases/systems
ArcGIS / ArcGIS Server / ArcGIS Online
Quantitative analysis
Desirable Skills/Experience:
Prior TERM Lite experience
Knowledge of Github/Git for code version control
Tableau or other visualization software
Front end web development HTML, Javascript, CSS. (Bootstrap and Angular JS are a plus)
Understanding of transit operations
Understanding of capital asset costing and life cycle planning
Understand transportation planning principles and policy
MINIMUM QUALIFICATIONS
An appropriate combination of education and experience that has provided the required knowledge, skills and abilities is qualifying. A typical way of obtaining the required qualifications is:
Education:
Completion of a bachelor's degree from an accredited college or university, in an appropriate field related to the area of assignment, such as transportation planning, project management, public finance, transportation engineering, economics, business or public administration, or a related discipline. (Applicants with a degree issued from an institution outside of the United States must have their transcripts evaluated by an academic accrediting service and provide proof of equivalency along with the application.).
A Master's degree is preferred.
Experience:
One year of experience in an appropriate field related to the area of assignment.
Preference will be given to applicants with additional professional work experience.
License/Certificate:
Possession of a valid California Class C driver's license and a safe driving record, or the ability to provide alternate transportation which is approved by the appointing authority.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Under the supervision of the Principal - Asset Management, the essential duties and responsibilities include, but are not limited to, the following:
Project Support:
Coordination of asset management activities with the transit operators.
Enhancement and maintenance to the existing Regional Transit Capital Inventory (a comprehensive regional database of the transit assets that are owned by transit agencies in the San Francisco Bay Area).
Support the development of workflows for the integration of spatial data from multiple project databases (e.g. Regional Transportation Plan and Transportation Improvement Program databases).
Work with consultants, staff, and transit agencies, on strategic planning efforts related to transit asset management.
Prepare and present materials for Commission consideration; follow agency procedures and standards and work cooperatively with project sponsors and MTC staff to ensure that materials are timely, accurate, and professional.
Database Administration:
Data integration workflows and providing primary database administrative support for multiple projects.
Policy Analysis:
Perform complex policy analysis related to state and regional transportation projects and programs.
Technical/Data Analysis:
Research and analyze complex and technical issues.
Work with large and diverse data sets.
Create repeatable workflows for integrating disparate datasets/databases,
Document and translate technical analyses for policy makers and lay audiences, and apply data to practical uses for achieving broad policies,
Maintain a regional transportation asset inventory for the Bay Area's transit systems (RTCI). Ensure data from the systems are consistent and regionally compatible.
Analyze, synthesize, and project future needs and utilize FTA software called TERM Lite.
Assist with activities related to a regional Safety/Vision Zero program; specifically, around development of a regional safety data system, rolling out safety policies and coordination of a regional Safety/Vision Zero task force.
Policy Development:
Support Transportation Asset Management implementation and policy development.
The Program Coordinator - Asset Management will perform other job related duties as assigned.
All employees at MTC are classified as Disaster Services Workers.
WHAT YOU’LL DO
As a Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling General Mills to advance the data-driven decision-making capabilities of our enterprise.
This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.
In this role you will:
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
Solve complex data problems to deliver insights that helps our business to achieve their goals
Create data products for analytics and data scientist team members to improve their productivity
Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
Lead evaluation, implementation and deployment of emerging tools & process for analytic data engineering to improve our productivity as a team
Develop and deliver communication & education plans on analytic data engineering capabilities, standards, and processes
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
WHO YOU ARE
Bachelor’s Degree
5 years of experience working in data engineering or architecture role
Expertise in SQL and data analysis and experience with at least one programming language
Experience developing and maintaining data warehouses in big data solutions
Big Data development experience using some or all of the following: Hive, BigQuery, Impala, Spark and familiarity with Kafka
Experience working with BI tools such as Tableau, Power BI, Looker, Shiny
Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Passion for agile software processes, data-driven development, reliability, and experimentation
Experience working on a collaborative agile product team
Excellent communication, listening, and influencing skills
WHAT’S NICE TO HAVE
Bachelor’s degree in Computer Science, MIS, or Engineering
7+ years applicable work experience
Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space
Experience in Python or Scala
Big Data development experience using Hive, Impala, Spark and familiarity with Kafka
Familiarity with the Linux operating system
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Experience with OLAP such as AtScale, SSAS, SAP BW, Essbase
Knowledge of Data Preparation, Data Wrangling, and Feature Engineering
Nov 26, 2019
Full-time
WHAT YOU’LL DO
As a Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling General Mills to advance the data-driven decision-making capabilities of our enterprise.
This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.
In this role you will:
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
Solve complex data problems to deliver insights that helps our business to achieve their goals
Create data products for analytics and data scientist team members to improve their productivity
Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
Lead evaluation, implementation and deployment of emerging tools & process for analytic data engineering to improve our productivity as a team
Develop and deliver communication & education plans on analytic data engineering capabilities, standards, and processes
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
WHO YOU ARE
Bachelor’s Degree
5 years of experience working in data engineering or architecture role
Expertise in SQL and data analysis and experience with at least one programming language
Experience developing and maintaining data warehouses in big data solutions
Big Data development experience using some or all of the following: Hive, BigQuery, Impala, Spark and familiarity with Kafka
Experience working with BI tools such as Tableau, Power BI, Looker, Shiny
Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Passion for agile software processes, data-driven development, reliability, and experimentation
Experience working on a collaborative agile product team
Excellent communication, listening, and influencing skills
WHAT’S NICE TO HAVE
Bachelor’s degree in Computer Science, MIS, or Engineering
7+ years applicable work experience
Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space
Experience in Python or Scala
Big Data development experience using Hive, Impala, Spark and familiarity with Kafka
Familiarity with the Linux operating system
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Experience with OLAP such as AtScale, SSAS, SAP BW, Essbase
Knowledge of Data Preparation, Data Wrangling, and Feature Engineering
WHAT YOU’LL DO:
In order to make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time.
As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engine and services. You will collaborate with product owners, business partners and other Data Scientists in the consumer marketing and media space to define technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions.
In this role, you will:
Collaborate with business partners to develop novel ways to optimize marketing levers, media mix, spend, etc. to meet goals utilizing cutting edge techniques and tools
Educate cross-functional partners by effectively communicating your analytics approach in the marketing/media space
Advocate and educate on the value of data-driven decision making, focusing on the “how and why” of solving problems
Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
Engineer new features by using your business acumen to find new ways to combine disparate data sources
Collaborate, coach, and learn with a growing team of experienced Data Scientists
Stay connected with external sources of ideas through conferences and community engagements
WHO YOU ARE:
Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience in a consumer, marketing, or media related role
Must have Python or R proficiency working with DataFrames
Must have proficiency writing complex SQL queries
Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
Exceptional communication & collaboration skills to understand business partner needs & deliver solutions
Bias for action, with ability to deliver outstanding results through task prioritization & time management
WHAT’S NICE TO HAVE:
Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization
Experience with supporting deployment, monitoring, maintenance and enhancement of models
Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.
Experience in digital marketing environment e.g. ad servers, web analytics, bid management
Familiarity with digital marketing principles e.g. funnel optimization, landing page optimization
Experience working in business to consumer marketing
Experience using data to tell a story and influence business decision makers
Nov 26, 2019
Full-time
WHAT YOU’LL DO:
In order to make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time.
As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engine and services. You will collaborate with product owners, business partners and other Data Scientists in the consumer marketing and media space to define technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions.
In this role, you will:
Collaborate with business partners to develop novel ways to optimize marketing levers, media mix, spend, etc. to meet goals utilizing cutting edge techniques and tools
Educate cross-functional partners by effectively communicating your analytics approach in the marketing/media space
Advocate and educate on the value of data-driven decision making, focusing on the “how and why” of solving problems
Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
Engineer new features by using your business acumen to find new ways to combine disparate data sources
Collaborate, coach, and learn with a growing team of experienced Data Scientists
Stay connected with external sources of ideas through conferences and community engagements
WHO YOU ARE:
Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience in a consumer, marketing, or media related role
Must have Python or R proficiency working with DataFrames
Must have proficiency writing complex SQL queries
Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
Exceptional communication & collaboration skills to understand business partner needs & deliver solutions
Bias for action, with ability to deliver outstanding results through task prioritization & time management
WHAT’S NICE TO HAVE:
Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization
Experience with supporting deployment, monitoring, maintenance and enhancement of models
Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.
Experience in digital marketing environment e.g. ad servers, web analytics, bid management
Familiarity with digital marketing principles e.g. funnel optimization, landing page optimization
Experience working in business to consumer marketing
Experience using data to tell a story and influence business decision makers
WHAT YOU’LL DO:
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time.
As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining and information retrieval to design, prototype and build next generation advanced analytics engine and services.
You will collaborate with product owners, business partners and other Data Scientists to define technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions.
In this role, you will:
collaborate with business partners to develop novel ways to meet goals utilizing cutting edge techniques and tools and effectively communicating your analytics approach
advocate and educate on the value of data-driven decision by focusing on the “how and why” of solving problems as your second nature
lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
engineer new features by using your business acumen to find new ways to combine disparate data sources
love to collaborate, coach and learn with a growing team of experienced Data Scientists
stay connected with external sources of ideas through conferences and community engagements
WHO YOU ARE:
Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience
Must have Python or R proficiency working with DataFrames
Must have proficiency writing complex SQL queries
Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
Bias for action, with the ability to deliver outstanding results through task prioritization and time management
WHAT’S NICE TO HAVE:
Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization
Experience with supporting deployment, monitoring, maintenance and enhancement of models
Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.
Nov 26, 2019
Full-time
WHAT YOU’LL DO:
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time.
As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining and information retrieval to design, prototype and build next generation advanced analytics engine and services.
You will collaborate with product owners, business partners and other Data Scientists to define technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions.
In this role, you will:
collaborate with business partners to develop novel ways to meet goals utilizing cutting edge techniques and tools and effectively communicating your analytics approach
advocate and educate on the value of data-driven decision by focusing on the “how and why” of solving problems as your second nature
lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
engineer new features by using your business acumen to find new ways to combine disparate data sources
love to collaborate, coach and learn with a growing team of experienced Data Scientists
stay connected with external sources of ideas through conferences and community engagements
WHO YOU ARE:
Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience
Must have Python or R proficiency working with DataFrames
Must have proficiency writing complex SQL queries
Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
Bias for action, with the ability to deliver outstanding results through task prioritization and time management
WHAT’S NICE TO HAVE:
Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization
Experience with supporting deployment, monitoring, maintenance and enhancement of models
Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.
WHAT YOU’LL DO:
As an Analytic Architect, you will be responsible to drive the discovery, design and execution of a wide variety of analytic technology solutions.
The Analytic Architect will provide leadership, strategic decision-making, and guidance within technical disciplines, responding to disruptive analytic technologies and solving unique and complex problems.
S/he researches, architects, and defines Analytic, Advanced Analytics & Business Intelligence capabilities and strategies for information delivery and data exploration to support business function needs and goals.
In this role you will:
Design end to end analytic workflows, including overall architecture, capabilities, platforms, tools & governing processes
Create, maintain & communicate positioning/go-forward strategies for analytic capabilities/tools
Share governance responsibility to ensure alignment to enterprise guidelines for security, auditability, data governance, metadata management, etc.
Help define/improve best practices, guidelines & integration with other enterprise solutions
Review analytic solutions for re-usability, scalability, synergy opportunities & alignment to defined best practices & guidelines
Create & evolve analytic technology roadmap, to align with continuously evolving business needs
Monitor technology trends & performs discovery of any new tools/capabilities of interest
Benchmark analytic capabilities with Industry analysts and other companies
Own strategic technology relationships with technology vendors & external communities/partners
Lead education & training for analytics community
WHO YOU ARE
10 years of experience demonstrating a high degree of proficiency in designing and developing complex, high-quality analytic solutions
5+ years in an Analytic Architecture role designing technology architectures, detailed workflows, best practices and governance guidelines
A proven track record of delivering scalable, resource intensive, integrated and operational analytic solution; Experience creating point-of-views, technology roadmaps, process diagrams
Hands-on experience working with open-source analytic technologies like R/Python, Kubernetes, Tensorflow and/or BI tools like Tableau/Power BI and data architecture concepts (OLAP, etc.)
Experience in Agile Development, with specific Solution Architect (or similar) experience preferred
Ability to phase the delivery of analytic solutions such that it can meet immediate needs, while building towards the long-term strategic solution
Understanding of holistic enterprise architecture and interplay of analytic components with enterprise foundational components (data architecture/governance, security etc.)
WHAT’S NICE TO HAVE
Cloud analytics platform experience preferred
Nov 26, 2019
Full-time
WHAT YOU’LL DO:
As an Analytic Architect, you will be responsible to drive the discovery, design and execution of a wide variety of analytic technology solutions.
The Analytic Architect will provide leadership, strategic decision-making, and guidance within technical disciplines, responding to disruptive analytic technologies and solving unique and complex problems.
S/he researches, architects, and defines Analytic, Advanced Analytics & Business Intelligence capabilities and strategies for information delivery and data exploration to support business function needs and goals.
In this role you will:
Design end to end analytic workflows, including overall architecture, capabilities, platforms, tools & governing processes
Create, maintain & communicate positioning/go-forward strategies for analytic capabilities/tools
Share governance responsibility to ensure alignment to enterprise guidelines for security, auditability, data governance, metadata management, etc.
Help define/improve best practices, guidelines & integration with other enterprise solutions
Review analytic solutions for re-usability, scalability, synergy opportunities & alignment to defined best practices & guidelines
Create & evolve analytic technology roadmap, to align with continuously evolving business needs
Monitor technology trends & performs discovery of any new tools/capabilities of interest
Benchmark analytic capabilities with Industry analysts and other companies
Own strategic technology relationships with technology vendors & external communities/partners
Lead education & training for analytics community
WHO YOU ARE
10 years of experience demonstrating a high degree of proficiency in designing and developing complex, high-quality analytic solutions
5+ years in an Analytic Architecture role designing technology architectures, detailed workflows, best practices and governance guidelines
A proven track record of delivering scalable, resource intensive, integrated and operational analytic solution; Experience creating point-of-views, technology roadmaps, process diagrams
Hands-on experience working with open-source analytic technologies like R/Python, Kubernetes, Tensorflow and/or BI tools like Tableau/Power BI and data architecture concepts (OLAP, etc.)
Experience in Agile Development, with specific Solution Architect (or similar) experience preferred
Ability to phase the delivery of analytic solutions such that it can meet immediate needs, while building towards the long-term strategic solution
Understanding of holistic enterprise architecture and interplay of analytic components with enterprise foundational components (data architecture/governance, security etc.)
WHAT’S NICE TO HAVE
Cloud analytics platform experience preferred
WHAT YOU’LL DO
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Full Stack Developer you will be responsible for executing all tasks through the software development life-cycle including analysis, design, development, testing, implementation and documentation. In this role you will:
Work with a cross-functional team including analysts, PMs, and business stakeholders in business value driven projects
Translate application storyboards and use cases into functional applications
Ensure the code follows latest coding practices and industry standards
Write both unit and integration tests, and develop automation tools for daily tasks
Challenge ideas and opinions to avoid pitfalls and inefficient solutions
Ensure the best possible performance, quality, and responsiveness of applications
WHO YOU ARE
Bachelor’s degree in Information Systems, Computer Science, or equivalent relevant discipline
5 years of experience working in a developer role
Deep knowledge of Object-Oriented programming
Strong knowledge of C# and the .NET web framework
Experience using JavaScript frameworks and libraries, such as React, Angular, Vue etc.
Experience writing and utilizing autonomous services oriented RESTful API services and performance tuning large scale apps
Ability to write effective unit, integration, and end-user automation tests
Experience with database systems, with knowledge of SQL and NoSQL stores (e.g. MySQL, Oracle, MongoDB, SQL Server, etc.)
Strong understanding of Agile methodologies
Strong communication skills with ability to communicate complex technical concepts and align organization on decisions
Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply
Ability to research, plan, organize, lead, and implement new processes or technology
WHAT’S NICE TO HAVE
Experience as a Developer on a cross-functional agile team preferred
Nov 26, 2019
Full-time
WHAT YOU’LL DO
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Full Stack Developer you will be responsible for executing all tasks through the software development life-cycle including analysis, design, development, testing, implementation and documentation. In this role you will:
Work with a cross-functional team including analysts, PMs, and business stakeholders in business value driven projects
Translate application storyboards and use cases into functional applications
Ensure the code follows latest coding practices and industry standards
Write both unit and integration tests, and develop automation tools for daily tasks
Challenge ideas and opinions to avoid pitfalls and inefficient solutions
Ensure the best possible performance, quality, and responsiveness of applications
WHO YOU ARE
Bachelor’s degree in Information Systems, Computer Science, or equivalent relevant discipline
5 years of experience working in a developer role
Deep knowledge of Object-Oriented programming
Strong knowledge of C# and the .NET web framework
Experience using JavaScript frameworks and libraries, such as React, Angular, Vue etc.
Experience writing and utilizing autonomous services oriented RESTful API services and performance tuning large scale apps
Ability to write effective unit, integration, and end-user automation tests
Experience with database systems, with knowledge of SQL and NoSQL stores (e.g. MySQL, Oracle, MongoDB, SQL Server, etc.)
Strong understanding of Agile methodologies
Strong communication skills with ability to communicate complex technical concepts and align organization on decisions
Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply
Ability to research, plan, organize, lead, and implement new processes or technology
WHAT’S NICE TO HAVE
Experience as a Developer on a cross-functional agile team preferred
External Job Description Description - External Research Analyst Economic Research Department
Performs supporting economic research at an intermediate level. Prepares analysis in support of department projects. Uses database knowledge to compile statistical data and prepare reports and forecasts. Develops recommendations and presentations on topics studied. Contributes to multiple research teams. Possesses and applies broad knowledge of analytical concepts, practices and procedures to accomplish moderately difficult assignments. The level of work is considered intermediate and staff work under general supervision. This job has no direct reports.
Principal Duties and Responsibilities
Collaborates with analysts to define user requirements and conduct design review for the development of basic to medium of complexity applications using client server and/or Web technologies
Develops basic to medium level of complexity Web and/or client server applications
Assists in providing all required customer service and training for automated systems
Resolves basic to medium level of complexity automation and/or data problems
Identifies opportunities for process improvements and proposes solutions
Performs analysis and projections of financial, economic or demographic data
Compiles data, and prepares written reports, graphs and charts
Conducts market research, trend analysis and prepares forecasts
Uses and designs new analytical models, databases or applications
Develops a variety of written materials for various audiences
Frequently contributes to project teams
Performs other duties as requested
Education and Experience
Bachelor's Degree or equivalent experience as noted below; major in economics, business, finance, or public policy preferred
Minimum of 2-3 years of experience
Knowledge and General Skills
Strong analytical and problem solving skills
Strong written and oral communication skills
Exceptionally strong interpersonal and teamwork skills
Demonstrated project management skills
Able to work on multiple projects at one time
Knowledge of business practices and statistical methods
Specific Technical Skills
Advanced MATLAB programming.
Intermediate Stata, R, and Python programming.
Intermediate SQL and Database Management.
Intermediate LaTeX.
Version Control and Test-driven development.
Experience with Bloomberg, Haver, FRED
Other Requirements
Applicants must be U.S. Citizens or hold green cards with the intent to become a U.S. Citizen.
As a condition of employment, Federal Reserve Bank of Chicago employees must comply with the Bank’s ethics rules, which generally prohibit employees, their spouses/domestic partners, and minor children from owning securities, such as stock, of banks or savings associations or their affiliates, such as bank holding companies and savings and loan holding companies. If you or your spouse/domestic partner or minor child own such securities, and would not be willing or able to divest them if you accepted an offer of Bank employment, you should raise this issue with the recruiter for this posting, who can provide you contact information for our ethics official if necessary.
Nov 21, 2019
Full-time
External Job Description Description - External Research Analyst Economic Research Department
Performs supporting economic research at an intermediate level. Prepares analysis in support of department projects. Uses database knowledge to compile statistical data and prepare reports and forecasts. Develops recommendations and presentations on topics studied. Contributes to multiple research teams. Possesses and applies broad knowledge of analytical concepts, practices and procedures to accomplish moderately difficult assignments. The level of work is considered intermediate and staff work under general supervision. This job has no direct reports.
Principal Duties and Responsibilities
Collaborates with analysts to define user requirements and conduct design review for the development of basic to medium of complexity applications using client server and/or Web technologies
Develops basic to medium level of complexity Web and/or client server applications
Assists in providing all required customer service and training for automated systems
Resolves basic to medium level of complexity automation and/or data problems
Identifies opportunities for process improvements and proposes solutions
Performs analysis and projections of financial, economic or demographic data
Compiles data, and prepares written reports, graphs and charts
Conducts market research, trend analysis and prepares forecasts
Uses and designs new analytical models, databases or applications
Develops a variety of written materials for various audiences
Frequently contributes to project teams
Performs other duties as requested
Education and Experience
Bachelor's Degree or equivalent experience as noted below; major in economics, business, finance, or public policy preferred
Minimum of 2-3 years of experience
Knowledge and General Skills
Strong analytical and problem solving skills
Strong written and oral communication skills
Exceptionally strong interpersonal and teamwork skills
Demonstrated project management skills
Able to work on multiple projects at one time
Knowledge of business practices and statistical methods
Specific Technical Skills
Advanced MATLAB programming.
Intermediate Stata, R, and Python programming.
Intermediate SQL and Database Management.
Intermediate LaTeX.
Version Control and Test-driven development.
Experience with Bloomberg, Haver, FRED
Other Requirements
Applicants must be U.S. Citizens or hold green cards with the intent to become a U.S. Citizen.
As a condition of employment, Federal Reserve Bank of Chicago employees must comply with the Bank’s ethics rules, which generally prohibit employees, their spouses/domestic partners, and minor children from owning securities, such as stock, of banks or savings associations or their affiliates, such as bank holding companies and savings and loan holding companies. If you or your spouse/domestic partner or minor child own such securities, and would not be willing or able to divest them if you accepted an offer of Bank employment, you should raise this issue with the recruiter for this posting, who can provide you contact information for our ethics official if necessary.
POSITION SUMMARY:
The Department of Economics and Business at Moravian College in Bethlehem, Pennsylvania, globally accredited by the Accreditation Council for Business Schools and Programs (ACBSP), invites applications for a full-time Assistant Professor of Practice in Predictive Analytics.
The primary fields of teaching responsibilities will include courses in data science and analytics. The successful candidate has the ability to teach several of the following courses: applied statistics, research methodology, principles, and applications of analytics, machine learning, data visualization, and experiential data analytics. All candidates will have the ability to initiate and supervise interdisciplinary and applied projects. Areas of specialization span the broad range of analytics topics with an expectation for the use of analytics tools including Excel, R, Python, SAS, SPSS, Tableau, and others.
A qualified candidate will have a genuine desire to teach data science and analytics, fully participate in a liberal arts environment and demonstrate:
ability to mentor learners
ability to work ethically and effectively as part of a collegial and collaborative team
ability to model the intersection of theory and practice in data science
ability to deal effectively with individual differences in ability, personality, and interests
commitment to assessment and advising
high emotional intelligence
effective communicator to various audiences
a strong commitment to teaching excellence
a desire to participate in service including academic and co-curricular advising, and
effective communication skills with a variety of audiences.
Applicants will be willing to teach at the undergraduate (introductory through advanced levels) and graduate level. This role will be an integral part of our Master of Science in Predictive Analytics Program.
Assistant Professors of practice are full-time, non-tenure eligible faculty. The standard teaching load is four courses (or equivalent) per semester. A course release may be offered each semester to complete administrative duties related to the Master of Science in Predictive Analytics program. This appointment is for a three-year term, renewable.
All positions are subject to budget availability.
QUALIFICATIONS:
An earned Ph.D. (or equivalent degree), advanced ABDs, and candidates with a Master's degree plus significant professional experience and professional certifications will be considered. Prior teaching experience in analytics is preferred.
TO APPLY:
Qualified candidates should click the "Apply Now" button on this page to send a letter of interest, curriculum vita, graduate transcript and evidence of teaching effectiveness. Please attach documents as a PDF file. Qualified candidates should also arrange to have three (3) letters of recommendation sent.
Review of applications will begin in December 2019 and continue until a finalist is identified. (Moravian College will not sponsor applicants for this position for a U.S. work visa.)
Founded in 1742, Moravian College is the sixth-oldest college in the country. Moravian is a private coeducational liberal arts college that is located in historic Bethlehem, in the heart of Pennsylvania's Lehigh Valley. Moravian is composed of a traditional undergraduate program, graduate, professional, and adult completion programs, and Moravian Theological Seminary.
Moravian College is committed to enhancing the diversity of the college community and the curriculum. Candidates who can contribute to that goal are encouraged to apply and to identify their strengths or experiences in this area. The Economics & Business Department's programs are nationally accredited by ACBSP.
PHYSICAL DEMANDS:
Occasionally required to remain seated in a normal position for long periods of time
Regularly required to walk about
Regularly required to maintain balance while walking, standing, crouching, or running
Routinely required to reach up and out with hands and arms
Regularly required to talk and hear; verbally express information or instructions
Regularly required to use hands to grasp objects, type, pick up objects, move objects, or hold objects
Routinely required to stoop, kneel, crouch, and/or crawl
Regularly required to climb stairs and/or ladders
Occasionally required to lift up to 25 pounds and carry a distance of 10 feet
Occasionally required to push and/or pull up to 25 pounds a distance of 10 feet
Routinely required to stand for long periods of time
Close vision (clear vision at 20 inches or less)
Depth perception and the ability to judge distances and spatial relationships
Adjustable focus
WORK ENVIRONMENT:
The work environment characteristics described here are representative of those encountered while performing the essential functions of this job.The individual is routinely exposed to indoor conditions, minimum outdoor weather and temperature extremes, and moderate noise level.
The specific statements shown in each section of this description are not intended to be all-inclusive. They represent typical elements and criteria necessary to successfully perform the job.
Nov 21, 2019
Full-time
POSITION SUMMARY:
The Department of Economics and Business at Moravian College in Bethlehem, Pennsylvania, globally accredited by the Accreditation Council for Business Schools and Programs (ACBSP), invites applications for a full-time Assistant Professor of Practice in Predictive Analytics.
The primary fields of teaching responsibilities will include courses in data science and analytics. The successful candidate has the ability to teach several of the following courses: applied statistics, research methodology, principles, and applications of analytics, machine learning, data visualization, and experiential data analytics. All candidates will have the ability to initiate and supervise interdisciplinary and applied projects. Areas of specialization span the broad range of analytics topics with an expectation for the use of analytics tools including Excel, R, Python, SAS, SPSS, Tableau, and others.
A qualified candidate will have a genuine desire to teach data science and analytics, fully participate in a liberal arts environment and demonstrate:
ability to mentor learners
ability to work ethically and effectively as part of a collegial and collaborative team
ability to model the intersection of theory and practice in data science
ability to deal effectively with individual differences in ability, personality, and interests
commitment to assessment and advising
high emotional intelligence
effective communicator to various audiences
a strong commitment to teaching excellence
a desire to participate in service including academic and co-curricular advising, and
effective communication skills with a variety of audiences.
Applicants will be willing to teach at the undergraduate (introductory through advanced levels) and graduate level. This role will be an integral part of our Master of Science in Predictive Analytics Program.
Assistant Professors of practice are full-time, non-tenure eligible faculty. The standard teaching load is four courses (or equivalent) per semester. A course release may be offered each semester to complete administrative duties related to the Master of Science in Predictive Analytics program. This appointment is for a three-year term, renewable.
All positions are subject to budget availability.
QUALIFICATIONS:
An earned Ph.D. (or equivalent degree), advanced ABDs, and candidates with a Master's degree plus significant professional experience and professional certifications will be considered. Prior teaching experience in analytics is preferred.
TO APPLY:
Qualified candidates should click the "Apply Now" button on this page to send a letter of interest, curriculum vita, graduate transcript and evidence of teaching effectiveness. Please attach documents as a PDF file. Qualified candidates should also arrange to have three (3) letters of recommendation sent.
Review of applications will begin in December 2019 and continue until a finalist is identified. (Moravian College will not sponsor applicants for this position for a U.S. work visa.)
Founded in 1742, Moravian College is the sixth-oldest college in the country. Moravian is a private coeducational liberal arts college that is located in historic Bethlehem, in the heart of Pennsylvania's Lehigh Valley. Moravian is composed of a traditional undergraduate program, graduate, professional, and adult completion programs, and Moravian Theological Seminary.
Moravian College is committed to enhancing the diversity of the college community and the curriculum. Candidates who can contribute to that goal are encouraged to apply and to identify their strengths or experiences in this area. The Economics & Business Department's programs are nationally accredited by ACBSP.
PHYSICAL DEMANDS:
Occasionally required to remain seated in a normal position for long periods of time
Regularly required to walk about
Regularly required to maintain balance while walking, standing, crouching, or running
Routinely required to reach up and out with hands and arms
Regularly required to talk and hear; verbally express information or instructions
Regularly required to use hands to grasp objects, type, pick up objects, move objects, or hold objects
Routinely required to stoop, kneel, crouch, and/or crawl
Regularly required to climb stairs and/or ladders
Occasionally required to lift up to 25 pounds and carry a distance of 10 feet
Occasionally required to push and/or pull up to 25 pounds a distance of 10 feet
Routinely required to stand for long periods of time
Close vision (clear vision at 20 inches or less)
Depth perception and the ability to judge distances and spatial relationships
Adjustable focus
WORK ENVIRONMENT:
The work environment characteristics described here are representative of those encountered while performing the essential functions of this job.The individual is routinely exposed to indoor conditions, minimum outdoor weather and temperature extremes, and moderate noise level.
The specific statements shown in each section of this description are not intended to be all-inclusive. They represent typical elements and criteria necessary to successfully perform the job.
The Vice President, Data & Analytics is looking for an experienced Modeling and Analytical Consultant to join the Data and Analytics Innovation team. This individual will be working with all Business Units to train globally on new modelling approaches and innovations.
This position will lead our D&A University that aims to transform our approach to empowering our associates and leaders with analytical and technical skills they need to be successful in current and future roles.
Who is Equifax?
Equifax is a global information solutions company that uses trusted unique data, creative analytics, technology and industry expertise to power organizations and individuals around the world by transforming knowledge into insights that help make more informed business and personal decisions. Regardless of location or role, the individual and collective work of our people makes a difference in our business. We are looking for individuals who can help us disrupt the marketplace. You will do this by delivering leading-edge technology to build and deliver unparalleled customized insights that enrich both the performance of businesses and the lives of consumers. We will give you the opportunity to drive innovation and automation across the enterprise. This will include tool and process integrations across all business units within Equifax globally.
Responsibilities:
Develop and execute training strategy globally on new modelling approaches, innovations, data assets, modelling applications and processes
Requires specialized depth and/or breadth of expertise to operate independently
Communicates difficult concepts and influences others to adopt a different point of view
Interacts with key decision-makers within own function and across related functions to successfully navigate Equifax’s matrix organization, involving others across the organization as needed
Be the experienced practitioner on machine learning that others look to for guidance and education.
Partner with a cross-functional team of data scientists, software engineers, product managers, and learning specialists to develop and deliver a learning that is adapted easily
Teach others how to build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Curate existing content from various sources like universities, commercial content providers, and publicly available material
Develop and conduct training through a variety of modes (in person, on-line, self-paced, blended)
Position Requirements:
Master’s Degree or higher in Statistics, Mathematics, Computer Science, Engineering
7+ years’ modelling and analytics experience in the financial services area
Experience developing models and scores with applications in risk and marketing
Innovative and continually research and evaluate emerging technologies and current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them
Leader that challenges conventional thinking and work with stakeholders to identify and improve the status quo and passionate about teaching others
Technical and comfortable with open-source languages and are passionate about developing further and have hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Statistically-minded and has experience building and validating models and experience with a variety of applications such as artificial intelligence, neural networks, regression, or machine learning
Ability to collaborate as a team player in a matrix organization
Strong verbal communication and interpersonal skills across global geographies and collaborating with internal/external customers
The Perks of being an Equifax Employee?
We offer an excellent compensation packages with high-reaching market salaries and 401k matching, along with the works: comprehensive healthcare packages, schedule flexibility, work from home opportunities, paid time off, and organizational growth potential.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
To speak to us about this role in more detail apply online.
Nov 21, 2019
Full-time
The Vice President, Data & Analytics is looking for an experienced Modeling and Analytical Consultant to join the Data and Analytics Innovation team. This individual will be working with all Business Units to train globally on new modelling approaches and innovations.
This position will lead our D&A University that aims to transform our approach to empowering our associates and leaders with analytical and technical skills they need to be successful in current and future roles.
Who is Equifax?
Equifax is a global information solutions company that uses trusted unique data, creative analytics, technology and industry expertise to power organizations and individuals around the world by transforming knowledge into insights that help make more informed business and personal decisions. Regardless of location or role, the individual and collective work of our people makes a difference in our business. We are looking for individuals who can help us disrupt the marketplace. You will do this by delivering leading-edge technology to build and deliver unparalleled customized insights that enrich both the performance of businesses and the lives of consumers. We will give you the opportunity to drive innovation and automation across the enterprise. This will include tool and process integrations across all business units within Equifax globally.
Responsibilities:
Develop and execute training strategy globally on new modelling approaches, innovations, data assets, modelling applications and processes
Requires specialized depth and/or breadth of expertise to operate independently
Communicates difficult concepts and influences others to adopt a different point of view
Interacts with key decision-makers within own function and across related functions to successfully navigate Equifax’s matrix organization, involving others across the organization as needed
Be the experienced practitioner on machine learning that others look to for guidance and education.
Partner with a cross-functional team of data scientists, software engineers, product managers, and learning specialists to develop and deliver a learning that is adapted easily
Teach others how to build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Curate existing content from various sources like universities, commercial content providers, and publicly available material
Develop and conduct training through a variety of modes (in person, on-line, self-paced, blended)
Position Requirements:
Master’s Degree or higher in Statistics, Mathematics, Computer Science, Engineering
7+ years’ modelling and analytics experience in the financial services area
Experience developing models and scores with applications in risk and marketing
Innovative and continually research and evaluate emerging technologies and current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them
Leader that challenges conventional thinking and work with stakeholders to identify and improve the status quo and passionate about teaching others
Technical and comfortable with open-source languages and are passionate about developing further and have hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Statistically-minded and has experience building and validating models and experience with a variety of applications such as artificial intelligence, neural networks, regression, or machine learning
Ability to collaborate as a team player in a matrix organization
Strong verbal communication and interpersonal skills across global geographies and collaborating with internal/external customers
The Perks of being an Equifax Employee?
We offer an excellent compensation packages with high-reaching market salaries and 401k matching, along with the works: comprehensive healthcare packages, schedule flexibility, work from home opportunities, paid time off, and organizational growth potential.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
To speak to us about this role in more detail apply online.
Biostatistician responsibilities include, but are not limited to, the following:
Performs data analysis and statistical evaluations
Collaborates with clinical and bioassay development teams to design studies, forms and analysis plans, performs sample/size/power calculations and stratification/randomization of studies, statistical programming, and report writing
Ensures the statistical validity of study activities by solving problems occurring in the data collection process
Recommends and carries out effective statistical methodology and strategies necessary for the creation, completion, and analysis of clinical or research project populations to be studied
Recommends analytical design for a broad range of data and the most appropriate statistical procedures for evaluation of outcome of studies
Uses a wide variety of statistical procedures including, but not limited to, categorical data analysis, exploratory and graphical methods, analysis of variance, correlation analysis, multiple linear regression, time series analysis, logistic regression, survival analysis, and statistics process control (SPC)
The ideal candidate would possess:
Knowledge of SAS, SATA, and R statistical software packages
Experience with statistical methods including Monte Carlo simulation/modeling, categorical data analysis, exploratory and graphical methods, multivariate Gaussian distributions, analysis of variance, correlation analysis, and multiple linear regression
Strong computer, scientific, and organizational skills
Excellent communication (oral and written) and attention to detail
Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude
Basic Minimum Qualifications:
Ph.D. in Statistics, Applied Statistics, Biostatistics, or similar field
At least 2 years’ experience analyzing and interpreting biostatistical data
Position is full-time, Monday-Friday, 8:30 a.m.-5 p.m., with overtime as needed. Candidates currently living within a commutable distance of Melville, New York are encouraged to apply.
As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options.
Oct 23, 2019
Full-time
Biostatistician responsibilities include, but are not limited to, the following:
Performs data analysis and statistical evaluations
Collaborates with clinical and bioassay development teams to design studies, forms and analysis plans, performs sample/size/power calculations and stratification/randomization of studies, statistical programming, and report writing
Ensures the statistical validity of study activities by solving problems occurring in the data collection process
Recommends and carries out effective statistical methodology and strategies necessary for the creation, completion, and analysis of clinical or research project populations to be studied
Recommends analytical design for a broad range of data and the most appropriate statistical procedures for evaluation of outcome of studies
Uses a wide variety of statistical procedures including, but not limited to, categorical data analysis, exploratory and graphical methods, analysis of variance, correlation analysis, multiple linear regression, time series analysis, logistic regression, survival analysis, and statistics process control (SPC)
The ideal candidate would possess:
Knowledge of SAS, SATA, and R statistical software packages
Experience with statistical methods including Monte Carlo simulation/modeling, categorical data analysis, exploratory and graphical methods, multivariate Gaussian distributions, analysis of variance, correlation analysis, and multiple linear regression
Strong computer, scientific, and organizational skills
Excellent communication (oral and written) and attention to detail
Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude
Basic Minimum Qualifications:
Ph.D. in Statistics, Applied Statistics, Biostatistics, or similar field
At least 2 years’ experience analyzing and interpreting biostatistical data
Position is full-time, Monday-Friday, 8:30 a.m.-5 p.m., with overtime as needed. Candidates currently living within a commutable distance of Melville, New York are encouraged to apply.
As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options.
