Senior Manager, Data Science (AI)

Location: Boston, Chicago, London, São Paulo, or Warsaw; office-based role.

Salary: USD 172,000–206,500 annualized in Massachusetts; USD 164,500–197,500 annualized in Illinois. Additional discretionary performance compensation may apply.

Company

Bain & Company is a global consulting firm with a product team building agentic decisioning tools and applied AI solutions for large organizations.

What you will do

• Own statistical modeling and analytical delivery from problem framing and data preparation through validation and production handoff.
• Design Bayesian models, time-series forecasts, marketing mix models, brand equity models, price elasticity models, and promotional lift models.
• Translate model outputs into versioned data products with interpretable confidence and uncertainty measures for product interfaces and agentic workflows.
• Build validation and evaluation frameworks using back-testing, out-of-sample checks, sensitivity analysis, and documented confidence bounds.
• Collaborate with data engineers on schemas, quality thresholds, input validation, benchmarks, and commercial data limitations.
• Present methodology and recommendations to senior stakeholders, facilitate assumption reviews, and drive improvements in analytical methodology.

Requirements

• Bachelor’s degree in statistics, mathematics, economics, computer science, or a related quantitative field; an advanced degree is advantageous but not required.
• Deep Bayesian statistical expertise, including prior design, convergence diagnosis, assumption testing, and defensible inference.
• Strong domain knowledge in at least one of marketing mix modeling and media ROI, brand equity and consumer choice modeling, or pricing elasticity and revenue growth management.
• Strong Python proficiency for statistical modeling and data analysis, including probabilistic programming, scientific computing, and clean handoff-ready model code.
• Experience designing and running experiments, A/B tests, out-of-sample validation, back-testing, and sensitivity analysis.
• Ability to convert statistical outputs into structured data products with schemas, uncertainty measures, and confidence bounds that engineers and agentic workflows can use.
• Working knowledge of product interfaces and agentic systems, with sufficient software and product fluency to collaborate with full-stack and AI engineers.
• Active use of AI-assisted coding tools for modeling, hypothesis generation, testing, and prototyping.
• At least 8 years of applied data science or quantitative modeling experience in a commercial, consulting-adjacent, or product environment, including production-grade models used by clients or products.
• Experience presenting methodology and model outputs to senior business stakeholders, including C-suite audiences, and defending analytical choices in live commercial settings.
• Experience working in agile, cross-functional product or case teams; responsible analytical practices, documented limitations, and judgment about deployment readiness are required.

Nice to have

• Advanced degree in a quantitative field.
• Experience collaborating with engineers to translate model outputs into product features or automated workflows.

Culture & Benefits

• Startup-style ownership and influence over architecture and product direction within Bain’s global scale.
• Medical, dental, and vision premiums fully covered for individual employees.
• Paid time off including parental leave, sick leave, and paid holidays.
• 401(k) contribution of 4.5%, increasing after three years and fully vested from the start.
• Paid life and long-term disability insurance.