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SeniorFull-timePythonRustData ScienceGitAI
Salary Range
$143,650 - $194,350 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Scientist to join Klaviyo, where you will thrive at the intersection of data science and product development. This role requires deep statistical rigor paired with product intuition, allowing you to build complex models in R or Python and advise product leaders on strategic decisions.
Key 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
- →Define the right product and customer metrics to measure success, and build scalable, self-serve analytics tools and dashboards
- →Collaborate with data engineering to define and implement reliable data pipelines and DBT models
- →Communicate insights clearly and persuasively to cross-functional stakeholders
Requirements
- ✓7+ years of experience in data science, product analytics, or applied statistics
- ✓Degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or Engineering
- ✓Highly proficient in SQL and either Python or R, and comfortable using DBT for analytics engineering
- ✓Deep expertise in experimentation and statistical analyses
- ✓Strong business intuition and the ability to translate ambiguous questions into clear analytical plans
- ✓Ability to balance analytical rigor with the urgency and iteration cadence of product development
- ✓Compelling communicator who can frame complex statistical findings into product-relevant insights
- ✓Experience thriving in cross-functional settings and using data to drive product decisions
Benefits
- ★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
- ★Be part of a culture that values intellectual rigor, collaborative problem-solving, and continuous learning
