Product Data Scientist

Klaviyo • San Francisco, CA

2d • 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 this is a hybrid role that requires 3 days/week in our SF 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 3-4 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 We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here

Requirements

• You have 3-4 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
• Number of Employees: 501-1,000 employees