Senior Product Data Scientist

Klaviyo-posted 4 months ago
$142,400 - $213,600/Yr
Onsite • San Francisco, CA
Publishing Industries
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

At Klaviyo, we build products that empower businesses to create stronger, more personalized relationships with their customers. We help businesses leverage data to deepen their customer relationships, foster growth and drive business outcomes. We are looking for a visionary Head of Product Analytics and Customer Insight to join our dynamic team, enhance our analytic capabilities and drive our customer strategy. 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 that this is a hybrid role and requires 3 days/week in our San Francisco office. Fully remote candidates will not be considered at this time.

  • 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.
  • 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.
  • 6+ years of experience (ideally 7+) in data science, product analytics, or applied statistics, preferably in a B2B SaaS or product-focused environment.
  • 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 work with speed and focus, balancing analytical rigor with the urgency and iteration cadence of product development.
  • Compelling communicator who can frame complex statistical findings into product-relevant insights.
  • Thrive in cross-functional settings and energized by using data to drive product decisions that improve customer outcomes.
  • Participation in the company's annual cash bonus plan.
  • Variable compensation (OTE) for sales and customer success roles.
  • Equity and sign-on payments.
  • Comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Track Jobs with Teal

Job Search Resources

•
AI Resume Builder
•
Senior Data Scientist Resume Examples
•
Senior Data Scientist Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service