Senior Data Scientist

ButcherBox is a certified B Corp headquartered in Boston, and honored to be celebrating our fourth year in a row on Inc.'s list of Best Workplaces. At ButcherBox, we believe in better. That’s why we deliver 100% grass-fed, grass-finished beef, free-range organic chicken, pork raised crate-free, and wild-caught seafood directly to our members’ doors. All of our products are humanely raised or wild-caught and never given antibiotics or added hormones ever.

We’re working to build a world that’s better for all, and we’re inviting everyone to come along. For us, better means treating our planet with respect. It means improving the lives of animals and the livelihoods of farmers. It means never cutting corners when it comes to doing business. Ultimately, it means better meals, enjoyed together. Our team is made up of people who collaborate and support one another. We’re always looking for outstanding people to join our mission! 

About The Role 

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. 

Our data science projects range from demand forecasting to contextual multi-armed bandits for personalized recommendations, with data scientists supporting the full ML stack including contributing to the feature store and managing inference pipelines in production. We also partner closely with the marketing and commercial operations teams in designing experiments to measure model impact.  

The ideal candidate will work from our Watertown, MA two day a week.

Responsibilities 

•Partner cross-functionally with Marketing, Operations, Product, and Engineering teams to translate business needs into data-driven solutions 

•Develop machine learning models and advanced analyses 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 

Requirements 

We know that many people come to data science from non-linear career paths and educational backgrounds, and that job titles don’t always capture what your work involved, but to be successful in this role you need to have:  

•3+ years of proven experience developing and supporting machine learning models to solve complex business problems

•7+ years of proven experience solving complex business problems with analytics, statistical analysis, and coding (Python, R, SQL) in a business environment

•Advanced knowledge of statistical modeling: linear/multivariate models, hypothesis testing, time series analysis 

•Familiarity with personalization and reinforcement learning such as multi-armed bandits, propensity modeling, Markov decision processes and discrete choice modeling, AND/OR familiarity with causal inference methods such as uplift modeling, instrumental variables, diff-in-diff, fixed effects regression, synthetic controls and 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 

Preferred Qualifications 

•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 causal inference

•Experience in personalization modeling and reinforcement learning 

•Experience with MLOps

•Success mentoring and developing data science talent 

•Interest in sustainability, food systems, or mission-driven work aligning with ButcherBox values 

•Ability to commute to Watertown, MA at least once a week

We are a mission-driven company and strive to embody our values in every step of the process. ButcherBox is driven by relentless improvement, accountability, humility, and customer obsession. We want our workplace to be one of growth and learning where everyone can be safe/comfortable to show up as their authentic self to work. Anyone who loves our products and goals is welcome here! We are proud to be an equal opportunity employer aspiring to incite positive change in the pastures, the fulfillment centers, the office, and the world.

•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