Builder - Data Scientist

BUILDER – DATA SCIENTIST

LOCATION : On-site, SF / Santa Clara (minimum of 2 days in Santa Clara until SF office opens in Q3, then may need to travel 1 day per week to Santa Clara or on as needed basis)

WHO YOU ARE :

Experienced Builder : You’re not just a modeler–you’re a builder. You’ve built and shipped end-to-end solutions in fast-moving startups, from data pipelines to productionized ML models.

Bias Towards Action : You thrive in zero-to-one environments, move quickly with incomplete information, and balance speed with technical rigor.

Strategic Executor : You dive deep into data, code, and models—but can zoom out to shape product direction and drive GTM outcomes.

Cross-Functional Partner : You work fluidly with Product, Engineering, and GTM teams, translating messy problems into data-driven decisions.

WHAT YOU WILL DO :

Own Core Initiatives : Lead high-impact initiatives end-to-end across the business–including account and lead scoring models, forecasting, churn prediction, and product analytics.

Lead causal inference analyses to understand and influence key levers of business growth with clear understanding of incremental impact

Design, implement, and analyze experiments and quasi-experiments to measure the impact of new initiatives in product and marketing

Develop predictive models and methodologies to uncover growth opportunities

Stand Up the Function : Define best practices for modeling, monitoring, governance, and experimentation. Build foundational infrastructure that scales as we grow the team and surface area.

Collaborate Cross-Functionally : Partner closely with GTM, Product, and Engineering to understand trends and make data-driven decisions, recommendations and forecasts.

WHAT WE’RE LOOKING FOR :

4+ years of data science experience, preferably within B2B SaaS or AI-native platforms

M.S. or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.

Expertise with Python / R and SQL

Proficiency in experimentation, causal inference, and predictive modeling

Experience with modern data stack tools (Fivetran, Airflow, Snowflake, dbt, Census, or equivalents) and visualization tools

Exceptional written and verbal communication skills; ability to clearly communicate findings and strategic recommendations to both technical and non-technical stakeholders

Experience navigating dynamic startup environments, managing multiple priorities, and driving measurable outcomes

ABOUT REEVO :

At Reevo, we're reimagining the entire revenue stack from the ground up, and we're doing it with speed. We're building software that orchestrates every go-to-market motion, enabling B2B teams to operate faster, smarter, and more collaboratively.

By combining automation, intelligence, and a radically intuitive interface, we're helping companies unlock new levels of productivity and growth across marketing, sales, ops, and customer success teams.

If you're excited about working on a product that reshapes how revenue teams work and being surrounded by curious, driven teammates, you'll feel right at home here. From day one, you'll get real ownership, real mentorship, and real impact. Our team of 50+ builders has 30 exits under their belt, so you'll be working alongside the best!