Senior Data Scientist

ButcherBox • Boston, MA

55d • $175,000 - $185,000

About The Position

We are seeking a Senior Data Scientist to uncover critical member insights from our marketing, operational, and financial data, driving smarter decisions and delivering exceptional offers, products, and services. The primary focus will be statistical analysis, high-quality predictive modeling, and end-to-end development of AI and ML systems integrated with our eCommerce platform, customer portal, and internal applications.

Requirements

• Proven experience solving complex business problems with analytics, statistical analysis, and coding (Python, R, SQL)
• Advanced knowledge of statistical modeling: linear/multivariate models, hypothesis testing, time series analysis
• Familiarity with causal inference methods: instrumental variables, diff-in-diff, fixed effects regression, synthetic controls, double ML
• Track record of delivering robust, production-grade data solutions in a cloud environment
• Strong communication skills—able to translate results and recommendations for non-technical stakeholders
• Hands-on experience with large datasets, cloud platforms (Azure), and version control (GitHub)
• Demonstrated commitment to code quality and reproducible research

Nice To Haves

• Evidence of using analytics to influence business strategy and drive measurable outcomes
• Experience solving marketing, subscriber growth, or operational problems in e-commerce or similar domains
• Experience in personalization modeling and reinforcement learning
• Success mentoring and developing data science talent
• Interest in sustainability, food systems, or mission-driven work aligning with ButcherBox values

Responsibilities

• Partner cross-functionally with Marketing, Operations, Product, and Engineering teams to translate business needs into data-driven solutions
• Perform advanced analysis and modeling using Python and Spark SQL
• Own projects from ideation and stakeholder engagement through production deployment and impact measurement
• Provide analytical thought leadership, propose new data experiments, and identify opportunities for measurable impact
• Champion data quality, reproducibility, and scalable code using best practices in version control (GitHub) and cloud infrastructure (Azure)
• Mentor junior Data Scientists, Data Engineers, and Analytics Engineers to develop their technical and business acumen
• Present complex findings and actionable recommendations to diverse audiences, including senior leadership

Benefits

• Health: medical, dental, vision, and life insurance, an employer-funded HSA, and short & long-term disability benefits
• Financial: 401(k) with generous employer match
• Annual bonus based on company performance
• Time off: unlimited paid time off policy, 20 weeks parental leave, an executive team that encourages a good work/life balance
• Personal growth: Annual Learning & Development stipend, and access to a range of personal and professional coaching solutions through BetterUp
• Food: a free Custom Classic ButcherBox each month and weekly lunch reimbursement
• Others: reimbursement for wellness activities, an exceptional EAP, fertility benefits, life insurance and more

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees