Product Data Scientist

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying.

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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 Boston office. Fully remote candidates will not be considered at this time.

• 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

• 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

• 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

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Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job‑related skills, relevant experience, education or training, and work location.

In addition to base salary, our total…