Product Data Scientist

Klaviyo • Boston, MA

52d • Hybrid

About The Position

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.

Requirements

• 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

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Number of Employees: 1,001-5,000 employees