Data Scientist (Economist)
About The Position
The Data Scientist (Economist) develops and applies statistical, econometric, machine learning, and analytical methods to transform data into insights and solutions that support business decisions. The role analyzes structured and unstructured data from economic and internal sources, develops and validates analytical models and algorithms, and applies established analytical approaches and foundational economic theory to business and technical problems. The position partners with business, engineering, technology, and other cross-functional teams to translate external economy-wide events into internal context and practical solutions. It communicates analytical findings in practical terms so stakeholders can understand results, evaluate alternatives, and take informed action. This is a hybrid role and is not eligible for visa sponsorship. The anticipated base pay range is $87,200.00–$145,300.00, with an incentive target of up to 5% based on individual and company performance objectives.
Requirements
- Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, or another quantitative field.
- At least 2 years applying statistical analysis, economic theory, data science, quantitative research, or related analytical methods to business or technical problems.
- Knowledge of statistical modeling and analytical methods, including regression, classification, clustering, time-series analysis, experimental design, hypothesis testing, model validation, and related quantitative techniques.
- Experience using data science programming languages such as Python, R, SPSS, or SAS and querying languages such as SQL to analyze structured and unstructured datasets and develop analytical solutions.
- Experience working with databases and analytical data environments such as Snowflake, Teradata, Oracle, or comparable platforms, and applying data preparation, computational, and visualization techniques.
- Experience translating complex analytical methods and findings into clear visualizations, presentations, documentation, and recommendations for technical and non-technical stakeholders.
- Familiarity with common sources for economic statistics, including government statistical agencies.
- Self-starter mentality and interest in economic and marketplace dynamics.
Responsibilities
- Develop and validate statistical models, machine learning algorithms, and analytical approaches—including classification, clustering, association, regression, time-series analysis, simulation, and prototyping—to address business problems and generate actionable insights.
- Analyze structured and unstructured data from multiple sources using data science programming languages, querying tools, and analytical techniques to identify patterns, test hypotheses, evaluate alternatives, and derive business-relevant conclusions.
- Develop, test, and maintain data science code and analytical solutions across database, computational, and service layers, partnering with engineering and technology teams to support reliable implementation and integration into business processes and products.
- Evaluate data, analytical methods, model performance, and solution results using statistical techniques, experimental design, outlier detection, hypothesis testing, and validation methods.
- Partner with business, product, engineering, technology, quality, and other stakeholders to define analytical needs, interpret business questions, recommend data science approaches, and contribute data-driven perspectives to solutions.
- Communicate analytical methods, findings, limitations, and recommendations through visualizations, presentations, documentation, and knowledge sharing for technical and non-technical audiences.
Benefits
- Medical, dental, vision, and life insurance coverage starting on the first day of employment.
- Six free sessions each year with a licensed therapist.
- 18 paid time off days annually for full-time employees; accrual is prorated based on employment start date.
- Six company holidays per year.
- A 6% company contribution to a 401(k) Retirement Savings Plan each pay period, with no employee contribution required.
- Employee discounts.
- Tuition reimbursement.
- Student loan refinancing.
- Free access to financial counseling, education, and tools.
- Maternity support programs and nursing benefits.
- Up to 14 weeks of paid leave for birth parents and up to 4 weeks of paid leave for non-birth parents.
- Incentive target of up to 5%, based on individual and company performance objectives.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
