Sr. Data Scientist, Econometrics
About The Position
The Senior Data Scientist, Econometrics reports to the Director, Strategy Analytics and develops advanced pricing and promotion analytics solutions, predictive models, optimization algorithms, and experimentation frameworks to help business leaders optimize pricing and promotion decisions globally. The role applies econometrics, statistical analysis, machine learning, AI, and optimization to address elasticity and promotion incrementality problems, translating complex findings into actionable business recommendations. It partners with Strategy, Finance, Operations, Marketing, and Technology stakeholders and contributes to enterprise analytics and growth initiatives. This is a hybrid role requiring regular in-person work at the Boston, Massachusetts, or Hampton, New Hampshire, office. The hybrid schedule is Monday through Wednesday in the office, with Thursday and Friday optional work-from-home days. Candidates must live within commuting distance of one of these offices; fully remote work is not available.
Requirements
- Master's degree in Economics, Econometrics, Statistics, Data Science, Mathematics, Computer Science, Engineering, Analytics, Operations Research, or a related quantitative field.
- At least 3 years of hands-on experience developing econometric and data science solutions for pricing strategy, promotion effectiveness, or revenue optimization.
- Experience developing predictive models and advanced econometric solutions for pricing and promotion applications such as price elasticity, promotion incrementality, demand forecasting, optimization, or customer response modeling.
- Strong understanding of econometrics, causal inference, machine learning, optimization, predictive modeling, and pricing and promotion experimentation.
- Experience with econometric methods such as regression, panel data, time series, Bayesian hierarchical models, difference-in-differences, instrumental variables, or similar approaches.
- Proficiency in Python, SQL, and modern analytics platforms such as Snowflake, Databricks, or similar cloud-based data environments.
- Strong problem-solving skills and ability to synthesize complex pricing, promotion, and business data into predictive insights and actionable recommendations.
- Exceptional attention to detail, efficiency, organization, and ability to establish priorities and objectives.
- Excellent presentation, written, and oral communication skills, including the ability to communicate effectively across organizational levels.
- Ability to establish and maintain effective, collaborative relationships with diverse internal and external individuals.
- Curiosity and commitment to continued learning and growth.
- Cooperative team player with a positive, can-do attitude.
Nice To Haves
- Experience with econometrics and statistical tools such as statsmodels, linearmodels, scikit-learn, PyMC, R, or similar tools.
- Experience with MLOps practices and tools such as MLflow, Kubeflow, Docker, or similar technologies to deploy, monitor, and scale machine learning models.
Responsibilities
- Develop predictive and prescriptive econometric models for price elasticity, promotion incrementality, price optimization, promotional effectiveness, cannibalization, halo effects, demand forecasting, and margin optimization.
- Design and build scalable, production-ready pricing and promotion solutions with Data Engineering and Technology for use in enterprise planning and decision processes.
- Apply econometrics, causal inference, machine learning, AI, and optimization techniques to identify pricing and promotion opportunities and improve business performance.
- Evaluate model performance and improve econometric solutions through agile product development and ongoing validation.
- Develop demand forecasts, scenario analyses, simulations, and optimization models to support pricing and promotion strategy, strategic planning, and investment decisions.
- Design and evaluate pricing and promotion experiments and measurement methodologies.
- Translate complex econometric analyses into actionable recommendations for executive decision-making.
- Partner with Strategy, Finance, and Marketing to develop the econometrics and pricing and promotion analytics strategy and roadmap.
- Collaborate with Finance, Marketing, Operations, and Technology stakeholders to solve business challenges using advanced econometric analytics.
- Present analytical findings and recommendations to technical and non-technical audiences.
- Support enterprise growth initiatives through econometric modeling and data-driven insights.
- Improve pricing and promotion data accessibility, analytical processes, automation, and model scalability.
- Promote econometrics, AI, and data science best practices across the organization.
Benefits
- Core medical, dental, vision, life, and disability coverage, plus supplemental accident, hospital, and critical illness coverage options for eligible employees.
- Generous time-off program, including volunteer time.
- Childcare reimbursement.
- Paid parental leave.
- Pet care reimbursement.
- Tuition reimbursement.
- Free Black Card membership.
- Learning and development programs.
- Engagement activities.
- 401(k) plan with safe harbor employer matching.
- Employee stock purchase plan.
- Annual corporate bonus incentive program based on company financial and personal performance.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
