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
Economic Systems Inc. (EconSys) is an Equal Opportunity Employer seeking a Software Developer to join our team in Falls Church, VA. The Software Developer will help make a significant impact on our continuous efforts to build on our Human Resources Management enterprise system. Our cloud application enterprise system is FedRAMP program accredited.
EconSys is celebrating almost 30 years in business and is continuing to have explosive growth! Our office is expanding, our customer numbers have increased, and you’ll find our products and services used by over 100 Federal agencies. With this increased business, we need help providing our Government customers with the best services and tools.
Responsibilities:
Writes highly optimized Java and SQL to contribute to the development of the application
Assists in debugging critical issues affecting customers and communicates status to the support team
Provides guidance to junior developers
Documents code
Performs code reviews to check for code optimization, code style, and enforce test-driven development methodologies
Assists in evaluating new software development frameworks and technologies
Requirements:
US Citizenship (minimum requirement for client issued Public Trust)
Able to obtain Public Trust (pass required credit and background check)
5+ years of working experience as a Full Stack Software Engineer
Strong knowledge of software development using Java and Spring
Able to create automated test scripts for functionality
Expertise in HTML and CSS
Experience in JavaScript , jQuery , JavaScript templating , js , and Node.js
Knowledge of building API, web services, RESTful, and Elasticsearch
Knowledge of Oracle database architecture with proficiency in SQL
Able to work independently
Experience:
Handling live issues
Writing JUnit tests
Building automation using tools such as Jenkins , Gradle , Maven , or others
Utilize Linux Administration, Splunk , Apache , Kafka , Puppet , Tomcat , or OSSEC
Knowledge using Python, Scala, Ruby on Rails
Education:
Bachelor’s Degree
Compensation:
Includes competitive wages, paid holidays, vacation, sick leave, 401k matching, life insurance, health, vision, and dental benefits.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Nov 23, 2019
Full-time
Economic Systems Inc. (EconSys) is an Equal Opportunity Employer seeking a Software Developer to join our team in Falls Church, VA. The Software Developer will help make a significant impact on our continuous efforts to build on our Human Resources Management enterprise system. Our cloud application enterprise system is FedRAMP program accredited.
EconSys is celebrating almost 30 years in business and is continuing to have explosive growth! Our office is expanding, our customer numbers have increased, and you’ll find our products and services used by over 100 Federal agencies. With this increased business, we need help providing our Government customers with the best services and tools.
Responsibilities:
Writes highly optimized Java and SQL to contribute to the development of the application
Assists in debugging critical issues affecting customers and communicates status to the support team
Provides guidance to junior developers
Documents code
Performs code reviews to check for code optimization, code style, and enforce test-driven development methodologies
Assists in evaluating new software development frameworks and technologies
Requirements:
US Citizenship (minimum requirement for client issued Public Trust)
Able to obtain Public Trust (pass required credit and background check)
5+ years of working experience as a Full Stack Software Engineer
Strong knowledge of software development using Java and Spring
Able to create automated test scripts for functionality
Expertise in HTML and CSS
Experience in JavaScript , jQuery , JavaScript templating , js , and Node.js
Knowledge of building API, web services, RESTful, and Elasticsearch
Knowledge of Oracle database architecture with proficiency in SQL
Able to work independently
Experience:
Handling live issues
Writing JUnit tests
Building automation using tools such as Jenkins , Gradle , Maven , or others
Utilize Linux Administration, Splunk , Apache , Kafka , Puppet , Tomcat , or OSSEC
Knowledge using Python, Scala, Ruby on Rails
Education:
Bachelor’s Degree
Compensation:
Includes competitive wages, paid holidays, vacation, sick leave, 401k matching, life insurance, health, vision, and dental benefits.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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.
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.
American Wind Energy Association
Washington, DC, USA
The Data Visualization and Presentation Specialist is a member of AWEA’s Research & Analytics team and supports AWEA’s analytical agenda by seeking the narrative in data and telling it through a variety of engaging, immersive visual tools. This position thinks in numbers and speaks in interactives, maps, and charts to deliver effective and compelling advocacy materials and content to further the organization’s mission and objectives.
The role will also leverage data analysis tools to investigate industry data, market trends, and policy impact assessments to support AWEA’s policy and regulatory decision-making and advocacy. This position reports to the Vice President, Research & Analytics.
Essential Functions/Major Responsibilities:
Think critically about graphics and data. Employ a variety of methods – interactive graphics, infographics, charts, maps, fact sheets, and more – to deliver compelling advocacy material and visually stunning market reports and presentations.
Develop intuitive, attractive, and interactive data visualizations for reports, presentations, and a range of other uses.
Distill data to communicate compelling stories to diverse audiences.
Produce high-quality and visually appealing presentation content based on AWEA data and secondary sources. Update legacy presentations, fact sheets, and additional data-driven advocacy content.
Lead design and production of AWEA market reports, fact sheets, and data visualizations. Work collaboratively with report authors and subject matter experts to develop content and tailor products to appropriate audience.
Build dashboards and similar data summaries for senior management that informs decision-making and planning.
Design and perform analyses that support AWEA’s policy agenda at the state, regional, and federal level on strategic issue areas.
Provide rapid response and analysis to inquiries from Government and Public Affairs teams, AWEA members, regional partners, the press, and others. Serves as a technical expert in communications with AWEA members, policy makers, the press, and the general public.
Assist in reviewing audience-facing material across the organization.
Knowledge, skills and abilities:
Strong quantitative analysis skills. Candidate must possess a strong record working with large, complex datasets.
Critical thinking: able to look at numbers, trends & data and come to new conclusions and transform into compelling visuals.
Strong written and oral communication, with the ability to tailor information to audiences of varying technical capabilities.
Expertise in technologies such as Tableau, SQL, JavaScript/HTML/D3.
Experience with Adobe Illustrator, Acrobat, and Photoshop.
Experience in ArcGIS or other geospatial visualization software.
Ability to respond quickly and professionally to inquiries.
Ability to prioritize and complete a variety of tasks efficiently.
Interpersonal skills and ability to work in a collaborative team environment.
Education and/or Experience
AWEA is seeking applicants whom reflect and understand our core values: We HEART Wind Energy, The Truth Prevails, Together We Succeed, and Ahead of the Curve . Qualified applicants may possess any combination of education and experience enabling them to successfully perform the responsibilities of the position. Qualifications are: Bachelor’s degree in a quantitative field such as economics, statistics, or engineering preferred. Seeking candidates with a minimum three years of experience conceptualizing and creating information graphics, data visualization, interactives, and presentations. Knowledge and working understanding of U.S. electricity sector preferred.
To apply
Click the "Apply Now" button on this page to send how you heard about this job, cover letter, salary requirement, start date availability, and resume (use “[Your Name]- Data Visualization & Presentation Specialist ” in subject line) or mail to AWEA, 1501 M Street NW, Suite 900, Washington, DC 20005; Attention: Human Resources.
AWEA is Metro accessible and provides a generous benefit package. To learn more visit our website. .
AWEA is an Equal Opportunity Employer.
Nov 06, 2019
Full-time
The Data Visualization and Presentation Specialist is a member of AWEA’s Research & Analytics team and supports AWEA’s analytical agenda by seeking the narrative in data and telling it through a variety of engaging, immersive visual tools. This position thinks in numbers and speaks in interactives, maps, and charts to deliver effective and compelling advocacy materials and content to further the organization’s mission and objectives.
The role will also leverage data analysis tools to investigate industry data, market trends, and policy impact assessments to support AWEA’s policy and regulatory decision-making and advocacy. This position reports to the Vice President, Research & Analytics.
Essential Functions/Major Responsibilities:
Think critically about graphics and data. Employ a variety of methods – interactive graphics, infographics, charts, maps, fact sheets, and more – to deliver compelling advocacy material and visually stunning market reports and presentations.
Develop intuitive, attractive, and interactive data visualizations for reports, presentations, and a range of other uses.
Distill data to communicate compelling stories to diverse audiences.
Produce high-quality and visually appealing presentation content based on AWEA data and secondary sources. Update legacy presentations, fact sheets, and additional data-driven advocacy content.
Lead design and production of AWEA market reports, fact sheets, and data visualizations. Work collaboratively with report authors and subject matter experts to develop content and tailor products to appropriate audience.
Build dashboards and similar data summaries for senior management that informs decision-making and planning.
Design and perform analyses that support AWEA’s policy agenda at the state, regional, and federal level on strategic issue areas.
Provide rapid response and analysis to inquiries from Government and Public Affairs teams, AWEA members, regional partners, the press, and others. Serves as a technical expert in communications with AWEA members, policy makers, the press, and the general public.
Assist in reviewing audience-facing material across the organization.
Knowledge, skills and abilities:
Strong quantitative analysis skills. Candidate must possess a strong record working with large, complex datasets.
Critical thinking: able to look at numbers, trends & data and come to new conclusions and transform into compelling visuals.
Strong written and oral communication, with the ability to tailor information to audiences of varying technical capabilities.
Expertise in technologies such as Tableau, SQL, JavaScript/HTML/D3.
Experience with Adobe Illustrator, Acrobat, and Photoshop.
Experience in ArcGIS or other geospatial visualization software.
Ability to respond quickly and professionally to inquiries.
Ability to prioritize and complete a variety of tasks efficiently.
Interpersonal skills and ability to work in a collaborative team environment.
Education and/or Experience
AWEA is seeking applicants whom reflect and understand our core values: We HEART Wind Energy, The Truth Prevails, Together We Succeed, and Ahead of the Curve . Qualified applicants may possess any combination of education and experience enabling them to successfully perform the responsibilities of the position. Qualifications are: Bachelor’s degree in a quantitative field such as economics, statistics, or engineering preferred. Seeking candidates with a minimum three years of experience conceptualizing and creating information graphics, data visualization, interactives, and presentations. Knowledge and working understanding of U.S. electricity sector preferred.
To apply
Click the "Apply Now" button on this page to send how you heard about this job, cover letter, salary requirement, start date availability, and resume (use “[Your Name]- Data Visualization & Presentation Specialist ” in subject line) or mail to AWEA, 1501 M Street NW, Suite 900, Washington, DC 20005; Attention: Human Resources.
AWEA is Metro accessible and provides a generous benefit package. To learn more visit our website. .
AWEA is an Equal Opportunity Employer.
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.