At Klaviyo, the business problem is to enhance analytic capabilities and drive customer strategy by empowering businesses to leverage data for stronger, more personalized customer relationships, growth, and business outcomes.
Requirements
- You are highly proficient in SQL and either Python or R, and comfortable using DBT for analytics engineering
- You have deep expertise in experimentation and statistical analyses.
- You have 6+ years of experience (ideally 7+) in data science, product analytics, or applied statistics, preferably in a B2B SaaS or product-focused environment
- You hold a degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Engineering
- You bring strong business intuition and the ability to translate ambiguous questions into clear analytical plans
- You work with speed and focus, balancing analytical rigor with the urgency and iteration cadence of product development
- You are a compelling communicator who can frame complex statistical findings into product-relevant insights
Responsibilities
- Partner with product and engineering teams to identify and evaluate high-impact product opportunities through rigorous experimentation, causal inference, and predictive modeling
- Lead the design, implementation, and analysis of experiments — including A/B tests and multivariate tests — ensuring sufficient power, correct statistical methods, and actionable recommendations
- Conduct statistical research projects to uncover patterns in customer behavior, evaluate product performance, and identify causal relationships — using methods such as Mixed Effects Models, Difference-in-Differences, clustering algorithms, and time series analysis to guide product strategy and decision-making.
- Define the right product and customer metrics to measure success, and build scalable, self-serve analytics tools and dashboards that enable product managers and cross-functional stakeholders to make data-informed decisions independently.
- Collaborate with data engineering to define and implement reliable data pipelines and DBT models that ensure clean, well-structured, and trustworthy data for downstream analysis and self-serve use.
- Communicate insights clearly and persuasively to cross-functional stakeholders, from product teams to executive leadership
Other
- Please note that this is a hybrid role and requires 3 days/week in our Boston office. Fully remote candidates will not be considered at this time.
- You thrive in cross-functional settings and are energized by using data to drive product decisions that improve customer outcomes
- Influence the direction of a high-impact product area and help define how success is measured
- Work alongside a world-class data team where experimentation and modeling are first-class tools
- Join a company where data science is embedded in the product development lifecycle, not siloed as reporting support
