Klaviyo unifies AI-powered email marketing and SMS to drive growth, retention, and measurable results. Build personalized, omnichannel experiences across WhatsApp, ecommerce, and more with K:AI Agents. Backed by Accel.
About the role
We're looking for a Lead Product Data Scientist, Forecasting to own and advance Klaviyo's forecasting capabilities, combining deep technical expertise with strong business judgment to influence some of our most important product and strategic decisions. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- You're highly proficient in SQL and Python or R, with experience developing production-quality analytical solutions and familiarity with dbt and modern analytics engineering practices
- You've demonstrated technical leadership by setting direction on complex projects, mentoring other data scientists, reviewing modeling approaches, and influencing technical standards across teams
- You combine statistical rigor with strong business intuition and understand how product development, customer behavior, pricing, and strategic investments translate into measurable financial and business outcomes
- You're comfortable owning complex analytical problems from initial exploration through production deployment, ongoing monitoring, and continuous improvement
- You can translate ambiguous business questions into well-defined analytical approaches, establish meaningful success metrics, and deliver actionable recommendations
- You're a compelling communicator who can explain sophisticated statistical concepts and modeling tradeoffs to both technical and non-technical audiences, including senior executives
More about this role
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 klaviyo.com/careers to see how we empower creators to own their own destiny.
Klaviyo's Product Data Science team plays a critical role in shaping how we understand, measure, and improve business performance. We partner closely with Product, Engineering, Finance, and Go-to-Market teams to turn complex data into actionable insights that inform product strategy, financial planning, and long-term growth.
As Klaviyo continues to scale its platform, expand its product portfolio, and introduce new AI-powered capabilities, the ability to accurately forecast business outcomes and understand the drivers behind them has never been more important.
Our team combines rigorous statistical modeling, advanced analytics, and deep business understanding to...
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