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
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.
Sr. Data Analytics Consultant The Ohio State University Columbus, OH
Reporting to the Director, Reporting and Analytics, the Senior Data Analytics Consultant provides fundraising data analysis and reporting services for the executive leadership team of the Development arm of the Office of Advancement.
The Sr. Data Analytics Consultant will be primarily responsible for the development and implementation of measurement and analytics strategies designed to ensure appropriate operational models; to monitor and evaluate applicable metrics to compare and analyze data to support strategic fundraising decisions and process improvement; to ensure communication with senior leadership and synthesize data into useful and insightful information; and to write and automate tools and scripts to increase efficiency and reduce manual efforts.
The Sr. Data Analytics Consultant will design and build data visualizations using diverse data sets and will be instrumental in developing and translating analysis, data modeling and ad hoc decision support to fulfill the needs of the development organization. This includes data analysis and reporting to enhance operational efficiency, encouraging data driven decisions and promoting a higher level of data consumption as well as best practices to improve services and processes of strategic importance to the Development team.
The Sr. Data Analytics Consultant provides significant data analysis using both descriptive and predictive statistical analysis expertise for the Development leadership team. This work includes, but is not limited to, responsibility for the ongoing design and maintenance of monthly Development performance reports and the fundraising dashboard. It further includes conducting significant data analysis and data mining required to understand the results found and communication of insights to leadership.
This work is accomplished using visual query tools, custom built standard outputs, Microsoft SQL Reporting Services tools, data analysis tools like SPSS or Excel and Tableau.
Required Qualifications:
Bachelor’s degree in Data Analytics, Statistics, Applied Math, Computer Science, Computer Information Systems or Management Information Systems, Marketing, Psychology or related field; or an equivalent combination of education and experience.
Five years of experience in a data analyst role.
Experience with enterprise reporting tools (i.e. MS BI Suite).
Two years of experience using SQL with preference to Microsoft T-SQL.
Two years of experience with statistical analysis using statistical packages for analyzing datasets (Excel, SPSS, R, SAS etc.).
Two years of experience visualizing and presenting data.
If interested, please click the "Apply Now" button on this page.
The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status.
Nov 18, 2019
Full-time
Sr. Data Analytics Consultant The Ohio State University Columbus, OH
Reporting to the Director, Reporting and Analytics, the Senior Data Analytics Consultant provides fundraising data analysis and reporting services for the executive leadership team of the Development arm of the Office of Advancement.
The Sr. Data Analytics Consultant will be primarily responsible for the development and implementation of measurement and analytics strategies designed to ensure appropriate operational models; to monitor and evaluate applicable metrics to compare and analyze data to support strategic fundraising decisions and process improvement; to ensure communication with senior leadership and synthesize data into useful and insightful information; and to write and automate tools and scripts to increase efficiency and reduce manual efforts.
The Sr. Data Analytics Consultant will design and build data visualizations using diverse data sets and will be instrumental in developing and translating analysis, data modeling and ad hoc decision support to fulfill the needs of the development organization. This includes data analysis and reporting to enhance operational efficiency, encouraging data driven decisions and promoting a higher level of data consumption as well as best practices to improve services and processes of strategic importance to the Development team.
The Sr. Data Analytics Consultant provides significant data analysis using both descriptive and predictive statistical analysis expertise for the Development leadership team. This work includes, but is not limited to, responsibility for the ongoing design and maintenance of monthly Development performance reports and the fundraising dashboard. It further includes conducting significant data analysis and data mining required to understand the results found and communication of insights to leadership.
This work is accomplished using visual query tools, custom built standard outputs, Microsoft SQL Reporting Services tools, data analysis tools like SPSS or Excel and Tableau.
Required Qualifications:
Bachelor’s degree in Data Analytics, Statistics, Applied Math, Computer Science, Computer Information Systems or Management Information Systems, Marketing, Psychology or related field; or an equivalent combination of education and experience.
Five years of experience in a data analyst role.
Experience with enterprise reporting tools (i.e. MS BI Suite).
Two years of experience using SQL with preference to Microsoft T-SQL.
Two years of experience with statistical analysis using statistical packages for analyzing datasets (Excel, SPSS, R, SAS etc.).
Two years of experience visualizing and presenting data.
If interested, please click the "Apply Now" button on this page.
The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, or protected veteran status.
University of Maryland, Baltimore
Baltimore, MD, USA
Search for Assistant Vice President, Data Analytics and Reporting
The University of Maryland, Baltimore
The Position
The University of Maryland, Baltimore (UMB), the state’s public health, law, and human services university, seeks an innovative, collaborative, leader to serve as its inaugural Assistant Vice President, Data Analytics and Reporting (AVP).
The AVP will serve as the founding director of UMB’s Office of Data Analytics and Reporting. The new office will support the entire University‘s analytic and reporting needs within and across a wide range of functional areas, including finance, academic affairs, research administration, human resources, student affairs, and philanthropy. The new office will be responsible for developing a decision support program that leverages data in the warehouse, and will advance the development of data management practices, business intelligence tools, the application of advanced analytics, and the development of interactive dashboards and reports.
The AVP will work with key leaders in IT, in numerous administrative offices, and with personnel in schools and departments, in promoting the effective use of data to address key questions, assess performance, and inform decision-making. The AVP will bring a fresh perspective to administrative data management, analytics, and reporting within and across institutional sources of data. The person will identify opportunities to apply contemporary approaches to analytics and reporting through the use of state-of-the-art tools and technologies.
The AVP will join campus leadership in fostering a campus-wide culture of informed decision-making and a philosophy of comprehensive self-service reporting such that business intelligence tools and data analytics capabilities are available to all schools and departments. The person will promote enterprise-wide reporting and analytics program that opens the doors to more information and understanding about UMB, leading to data-informed decisions.
The AVP is responsible for consulting with and listening to UMB leaders; communicating the benefits and capabilities of the data analytics program; making presentations that demonstrate the value and outcomes produced by transparent BI technologies and data analytics; and encouraging the use of multiple administrative data sources and analytics for decision support related to the management of resources and achieving institutional and school-based goals and strategic outcomes.
Candidates should possess demonstrated experience in the field of information management or analytics and reporting; demonstrated expertise with business intelligence and predictive analytics, as well as using and/or leading data warehouse efforts; and significant experience with large databases and Enterprise Resource Planning statistical software programs, spreadsheets, and query, and data mining software;
UMB is assisted in this search by Isaacson, Miller, and a national executive search firm. All inquiries, nominations, and applications should be directed in confidence to the firm as described at the end of this document.
To Apply
All inquiries, nominations/referrals, and application materials should be submitted in confidence via Isaacson, Miller’s website:
Daniel Rodas, Partner
Liz Vago, Managing Associate
Click the "Apply Now" button on this page to be taken to the website.
Electronic submission of materials is strongly encouraged.
The University of Maryland, Baltimore is an Equal Opportunity/Affirmative Action Employer.
Minorities, women, veterans and individuals with disabilities are encouraged to apply.
Nov 06, 2019
Full-time
Search for Assistant Vice President, Data Analytics and Reporting
The University of Maryland, Baltimore
The Position
The University of Maryland, Baltimore (UMB), the state’s public health, law, and human services university, seeks an innovative, collaborative, leader to serve as its inaugural Assistant Vice President, Data Analytics and Reporting (AVP).
The AVP will serve as the founding director of UMB’s Office of Data Analytics and Reporting. The new office will support the entire University‘s analytic and reporting needs within and across a wide range of functional areas, including finance, academic affairs, research administration, human resources, student affairs, and philanthropy. The new office will be responsible for developing a decision support program that leverages data in the warehouse, and will advance the development of data management practices, business intelligence tools, the application of advanced analytics, and the development of interactive dashboards and reports.
The AVP will work with key leaders in IT, in numerous administrative offices, and with personnel in schools and departments, in promoting the effective use of data to address key questions, assess performance, and inform decision-making. The AVP will bring a fresh perspective to administrative data management, analytics, and reporting within and across institutional sources of data. The person will identify opportunities to apply contemporary approaches to analytics and reporting through the use of state-of-the-art tools and technologies.
The AVP will join campus leadership in fostering a campus-wide culture of informed decision-making and a philosophy of comprehensive self-service reporting such that business intelligence tools and data analytics capabilities are available to all schools and departments. The person will promote enterprise-wide reporting and analytics program that opens the doors to more information and understanding about UMB, leading to data-informed decisions.
The AVP is responsible for consulting with and listening to UMB leaders; communicating the benefits and capabilities of the data analytics program; making presentations that demonstrate the value and outcomes produced by transparent BI technologies and data analytics; and encouraging the use of multiple administrative data sources and analytics for decision support related to the management of resources and achieving institutional and school-based goals and strategic outcomes.
Candidates should possess demonstrated experience in the field of information management or analytics and reporting; demonstrated expertise with business intelligence and predictive analytics, as well as using and/or leading data warehouse efforts; and significant experience with large databases and Enterprise Resource Planning statistical software programs, spreadsheets, and query, and data mining software;
UMB is assisted in this search by Isaacson, Miller, and a national executive search firm. All inquiries, nominations, and applications should be directed in confidence to the firm as described at the end of this document.
To Apply
All inquiries, nominations/referrals, and application materials should be submitted in confidence via Isaacson, Miller’s website:
Daniel Rodas, Partner
Liz Vago, Managing Associate
Click the "Apply Now" button on this page to be taken to the website.
Electronic submission of materials is strongly encouraged.
The University of Maryland, Baltimore is an Equal Opportunity/Affirmative Action Employer.
Minorities, women, veterans and individuals with disabilities are encouraged to apply.
