Data Scientist [Multiple Positions Available]
JPMorgan Chase & Co., Columbus, OH, United States
Duties
Drive partnership with cross-functional teams to translate business goals into analytical requirements. Develop campaign measurement plans and formalize short & long-term testing objectives. Develop experimental test designs consistent with learning agenda, financial objectives and operational constraints. Build analytical forecasts, scenarios & insights for campaigns to help optimize budget. Leverage data visualization techniques to present analytical insights to stakeholders and business unit leadership.
Qualifications
Minimum education and experience required: Master's degree in Financial Risk Management, Mathematics, Economics, Business Analytics, Data Science, Statistics, Finance or related field of study plus 2 years (24 months) of experience in the job offered or as Data Scientist, Financial Analyst, Quantitative Analyst, Business Analyst, or related occupation.
Skills Required
This position requires two (2) years of experience with the following: using programming languages such as Python, SAS, R, or SQL to query databases, manipulate data, produce summary statistics, or calculate statistical measures; data analysis using statistical methods such as basic statistical measures, probability, or hypothesis testing, interpreting results and providing actionable insights for performance improvement; designing and developing Excel documents to organize business data, build analytical frameworks and create charts and tables; leveraging data visualization techniques using PowerPoint and Tableau to present analytical insights to stakeholders. This position requires any amount of experience with the following: performing cost-benefit analysis such as budget planning, forecasting, scenario analysis, stress testing, sensitivity analysis, NPV, ROI, or break-even to optimize future business strategies.
Location
Job Location: 1111 Polaris Pkwy, Columbus, OH 43240.
Employment Type
Full-Time.
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Drive partnership with cross-functional teams to translate business goals into analytical requirements. Develop campaign measurement plans and formalize short & long-term testing objectives. Develop experimental test designs consistent with learning agenda, financial objectives and operational constraints. Build analytical forecasts, scenarios & insights for campaigns to help optimize budget. Leverage data visualization techniques to present analytical insights to stakeholders and business unit leadership.
Qualifications
Minimum education and experience required: Master's degree in Financial Risk Management, Mathematics, Economics, Business Analytics, Data Science, Statistics, Finance or related field of study plus 2 years (24 months) of experience in the job offered or as Data Scientist, Financial Analyst, Quantitative Analyst, Business Analyst, or related occupation.
Skills Required
This position requires two (2) years of experience with the following: using programming languages such as Python, SAS, R, or SQL to query databases, manipulate data, produce summary statistics, or calculate statistical measures; data analysis using statistical methods such as basic statistical measures, probability, or hypothesis testing, interpreting results and providing actionable insights for performance improvement; designing and developing Excel documents to organize business data, build analytical frameworks and create charts and tables; leveraging data visualization techniques using PowerPoint and Tableau to present analytical insights to stakeholders. This position requires any amount of experience with the following: performing cost-benefit analysis such as budget planning, forecasting, scenario analysis, stress testing, sensitivity analysis, NPV, ROI, or break-even to optimize future business strategies.
Location
Job Location: 1111 Polaris Pkwy, Columbus, OH 43240.
Employment Type
Full-Time.
#J-18808-Ljbffr