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Data Scientist

Job in Watertown, Middlesex County, Massachusetts, 02472, USA
Listing for: ButcherBox
Full Time position
Listed on 2026-08-31
Job specializations:
  • IT/Tech
    Data Analyst, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 85000 - 110000 USD Yearly USD 85000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist I

Butcher Box 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 Butcher Box, 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 is 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!

Department: Data Science

Reports To: Emily Strong - Senior Manager, Data Science

Location: Watertown, MA(Butcher Box Headquarters )

About the Role

We are looking for a Data Scientist I to discover impactful member information hidden in our marketing, operational, customer experience, and financial data. You will be responsible for helping us make smarter decisions to deliver better offers, products and services to our members. The primary focus of the role will be performing statistical analysis, building high quality predictive analytics, and developing AI and ML systems that will integrate with our eCommerce website, customer portal and internal marketing and operational tools and 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, and this role will contribute to all aspects of the model lifecycle. We also partner closely with the marketing and commercial operations teams in designing experiments to measure model impact.

Responsibilities
  • Collaborate with cross-functional teams, such as Product Management, Commercial, Marketing, Finance, and Supply Chain, to understand business objectives and frame data-driven problems effectively.
  • Perform analysis using relevant data tools; we use Python, PySpark, and Spark SQL.
  • Contribute to all aspects of a machine learning solution, from problem framing with stakeholders to production implementation, impact measurement, and presentation to the leadership team.
  • Collaborate with senior data scientists on the development of models to solve complex business problems and own components of the solution.
  • Assist with support and maintenance for existing models in production.
Requirements
  • At least 2 years of proven experience solving business problems using SQL and coding.
  • Professional or academic coursework experience with statistical analysis such as linear models, multivariate analysis, hypothesis testing, and time series analysis.
  • Hands-on experience with the model development process, from feature selection to model evaluation.
  • Ability to communicate complex findings and solutions to non-technical stakeholders.
  • Experience working with large datasets in a cloud environment; we use Azure.
  • Experience with or eagerness to learn the tools and engineering skills involved in developing and supporting models in production.
Preferred Qualifications
  • Experience in solving marketing and operational problems within an e-commerce or similar domain.
  • Exposure to personalization or causal inference machine learning techniques.
  • Experience working with version control; we use Git Hub.
  • Experience with object-oriented programming.
What We Offer
  • 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 Better Up
  • Food: a free Custom Classic Butcher Box each month and weekly lunch reimbursement
  • Others: reimbursement for wellness activities, an exceptional EAP, fertility benefits, life insurance and more
Our Values

We are a mission-driven company and strive to embody our values in every step of the process. Butcher Box 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.

Butcher Box is an equal opportunity…

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