We’re looking for someone who thrives at the intersection of data and product — someone who brings solid analytical skills, experience with experimentation, and curiosity to uncover insights that shape product strategy. You should be comfortable working with SQL and R or Python, designing and analyzing A/B tests, and translating data into actionable recommendations for product teams. Please note that this is a hybrid role that requires 3 days/week in our Boston office. Fully remote candidates will not be considered at this time.
What You’ll Do
- Partner with product and engineering teams to evaluate product opportunities through A/B testing, data analysis, and customer insights
- Contribute to the design, implementation, and analysis of experiments — ensuring correct setup, sufficient power, and clear interpretation of results
- Conduct exploratory analyses to uncover patterns in customer behavior and product usage that inform product strategy
- Define and track product and customer metrics to measure success, and help build dashboards and reporting that make insights accessible to product managers and stakeholders
- Collaborate with data engineering to ensure data pipelines and DBT models are accurate, reliable, and well-structured for downstream use
- Communicate insights in a clear, compelling way to cross-functional partners, making data actionable for product decisions
Who You Are
- You have 2-4 years of experience in product analytics, data science, or applied statistics, preferably in a SaaS or product-focused environment
- You hold a degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Engineering
- You are proficient in SQL and have experience using either Python or R for data analysis
- You have hands-on experience with A/B testing and statistical analysis, and are motivated to grow into more advanced methods over time
- You bring strong business intuition and curiosity, and can translate questions into structured analytical approaches
- You’re a clear communicator who can frame findings for both technical and non-technical audiences
- You enjoy working cross-functionally and are energized by using data to improve customer outcomes
Why You’ll Love This Role
- Gain hands-on experience influencing product direction through experimentation and analytics
- Build your expertise in product data science with mentorship and collaboration from senior data scientists
- Join a company where data science is a core part of the product development lifecycle
- Be part of a culture that values analytical rigor, collaborative problem-solving, and continuous learning
