Reevo is reimagining the entire revenue stack from the ground up, building software that orchestrates every go-to-market motion to enable B2B teams to operate faster, smarter, and more collaboratively. The company is looking for a Data Scientist to own core initiatives, stand up the data science function, and collaborate cross-functionally to drive growth and make data-driven decisions.
Requirements
- 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
Responsibilities
- Lead high-impact initiatives end-to-end across the businessincluding 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
- Define best practices for modeling, monitoring, governance, and experimentation.
- Build foundational infrastructure that scales as we grow the team and surface area.
- Partner closely with GTM, Product, and Engineering to understand trends and make data-driven decisions, recommendations and forecasts.
Other
- Experienced Builder: Youre not just a modeleryoure a builder. Youve 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 modelsbut 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.
- 4+ years of data science experience, preferably within B2B SaaS or AI-native platforms
- 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
