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ReSupply

Statistical Data Scientist

ReSupply, Boston, Massachusetts, us, 02298

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Position & Company Overview 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

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

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

Why ReSupply?

The opportunity to have a tangible, real‑world impact through your work

Join a mission‑driven and service‑oriented culture

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

ReSupply is an equal opportunity employer. As such, it is our policy to fill positions with qualified candidates regardless of the candidate’s race, color, sex, age, religion, ancestry, national origin, citizenship status, marital status, sexual orientation, gender identity, genetic information, disability, pregnancy, military status, veteran status or any other protected group status.

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