Product Data Scientist

<div class="content-intro"><p><em>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. Want to learn more about life at Klaviyo? Visit <a class="_ymio1r31 _ypr0glyw _zcxs1o36 _mizu194a _1ah3dkaa _ra3xnqa1 _128mdkaa _1cvmnqa1 _4davt94y _4bfu18uv _1hms8stv _ajmmnqa1 _vchhusvi _kqswh2mm _ect4ttxp _syaz13af _1a3b18uv _4fpr8stv _5goinqa1 _f8pj13af _9oik18uv _1bnxglyw _jf4cnqa1 _30l313af _1nrm18uv _c2waglyw _1iohnqa1 _9h8h12zz _10531ra0 _1ien1ra0 _n0fx1ra0 _1vhv17z1" href="http://klaviyo.com/careers" data-renderer-mark="true">klaviyo.com/careers</a> to see how we empower creators to own their own destiny.</em></p></div><p>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. <strong>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. </strong></p> <h3><strong>What You’ll Do</strong></h3> <ul> <li>Partner with product and engineering teams to evaluate product opportunities through A/B testing, data analysis, and customer insights</li> <li>Contribute to the design, implementation, and analysis of experiments — ensuring correct setup, sufficient power, and clear interpretation of results</li> <li>Conduct exploratory analyses to uncover patterns in customer behavior and product usage that inform product strategy</li> <li>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</li> <li>Collaborate with data engineering to ensure data pipelines and DBT models are accurate, reliable, and well-structured for downstream use</li> <li>Communicate insights in a clear, compelling way to cross-functional partners, making data actionable for product decisions</li> </ul> <h3><strong>Who You Are</strong></h3> <ul> <li>You have 3-4 years of experience in product analytics, data science, or applied statistics, preferably in a SaaS or product-focused environment</li> <li>You hold a degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Engineering</li> <li>You are proficient in SQL and have experience using either Python or R for data analysis</li> <li>You have hands-on experience with A/B testing and statistical analysis, and are motivated to grow into more advanced methods over time</li> <li>You bring strong business intuition and curiosity, and can translate questions into structured analytical approaches</li> <li>You’re a clear communicator who can frame findings for both technical and non-technical audiences</li> <li>You enjoy working cross-functionally and are energized by using data to improve customer outcomes</li> </ul> <h3><strong>Why You’ll Love This Role</strong></h3> <ul> <li>Gain hands-on experience influencing product direction through experimentation and analytics</li> <li>Build your expertise in product data science with mentorship and collaboration from senior data scientists</li> <li>Join a company where data science is a core part of the product development lifecycle</li> <li>Be part of a culture that values analytical rigor, collaborative problem-solving, and continuous learning</li> </ul><br><p>We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify ... (truncated, view full listing at source)