Statistical Data Scientist
About The Position
Resupply is looking for an analytical team player to join us on our journey to reinvent and forever change the supply-chain of charitable contributions within the U.S. We are seeking someone who will be passionate about our mission and partnerships as we turn household goods into emergency relief for those in need. As a Statistical Data Scientist, you will embed yourself within the product development team as a trusted partner to prepare for product releases, measure outcomes, and uncover new opportunities for growth. This role focuses on using data to enhance user experience and improve product performance through thoughtful experimentation, measurement, and analysis. A strong foundation in statistics and comfort with basic programming will enable you to succeed as you build out tests, dashboards, and insights that shape our product roadmap. Our small, tight-knit team is seeking a candidate who will work closely with us at our Downtown Boston headquarters. We work best when we can all innovate together in an open, collaborative environment. Click to learn how Resupply is forever changing charitable giving: https://www.youtube.com/watch?v=AVW60dsKJq0&t=6s
Requirements
- Bachelor’s Degree in a quantitative field (e.g., Math, Statistics, Computer Science, Data Science)
- Solid understanding of core statistical concepts such as probability, sampling, confidence intervals, hypothesis testing, and the foundations of experimental design
- Familiarity with A/B testing principles and measuring product outcomes
- Expertise in SQL and working with relational databases
- Experience building or maintaining dashboards (e.g., Power BI, QuickSight, Tableau)
- At least 2 years of experience with Python scripting through internships/coursework
- Experience working on projects that require handling large quantities of data
- Curiosity, attention to detail, and a passion for using data to influence product decisions
Responsibilities
- Understand how our data is created, stored, aggregated, cleaned, and how it can be used to inform decision making
- Apply foundational statistical reasoning to help define and validate product metrics
- Think critically about how we define our metrics
- Design, run, and analyze the results of A/B tests
- Build and maintain clear, reliable dashboards and reports to support new feature development and measure outcomes
- Perform analyses on product features to answer open-ended questions and provide strategic recommendations to influence the product roadmap
- Architect and maintain data pipelines and queries that serve as the backbone of our product insights and experimentation efforts
- Collaborate closely with product and engineering teammates to translate data findings into actionable insights
Benefits
- Flexible PTO and early-exit Fridays year-round
- Complimentary daily lunch in the office
- Team-building events
- 401(k) savings option
- Medical, vision, and dental benefits
- 17 paid holidays
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
