Data Scientist [Multiple Positions Available]
About The Position
This role involves driving partnerships with cross-functional teams to translate business goals into analytical requirements. The Data Scientist will develop campaign measurement plans and formalize short & long-term testing objectives. They will also develop experimental test designs consistent with the learning agenda, financial objectives, and operational constraints. Additionally, the role requires building analytical forecasts, scenarios & insights for campaigns to help optimize budget, and leveraging data visualization techniques to present analytical insights to stakeholders and business unit leadership.
Requirements
- Master's degree in Financial Risk Management, Mathematics, Economics, Business Analytics, Data Science, Statistics, Finance or related field of study
- 2 years (24 months) of experience in the job offered or as Data Scientist, Financial Analyst, Quantitative Analyst, Business Analyst, or related occupation.
- Two (2) years of experience using programming languages such as Python, SAS, R, or SQL to query databases, manipulate data, produce summary statistics, or calculate statistical measures.
- Two (2) years of experience in data analysis using statistical methods such as basic statistical measures, probability, or hypothesis testing, interpreting results and providing actionable insights for performance improvement.
- Two (2) years of experience designing and developing Excel documents to organize business data, build analytical frameworks and create charts and tables.
- Two (2) years of experience leveraging data visualization techniques using PowerPoint and Tableau to present analytical insights to stakeholders.
- Any amount of experience 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.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
