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Senior Data Scientist

Deerfield, IL, United States

Experience Needed :

-Minimum of 4 years of experience in quantitative or computational functions -Advanced knowledge of SQL -Advanced knowledge of open source data science and statistics packages such as Python, R, Spark, etc. -Strong experience in data science, advanced analytics, or statistics

Job Responsibilities: Responsible for applying highly complex advanced data analysis tools and techniques to provide insights and actionable recommendations for the business

Utilizes highly complex statistical modeling to make predictions about future outcomes and in multiple scenarios.

Interprets and applies data in highly-complex analyses, and explains findings to business audiences to improve products and processes.

Executes multiple and/or highly complex statistical and mathematical analyses to support business decision making for multiple business functions.

Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.

Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining.

Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.

Develops materials to explain project findings.

Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining.

Interprets and applies data in highly-complex analyses, and explains findings to business audiences to improve products and processes.

Executes multiple and/or highly complex statistical and mathematical analyses to support business decision making for multiple business functions.

Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcom

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