MLabs is seeking a Staff Data Scientist to bring deep technical rigor, advanced statistical methods, and analytical frameworks to their product and business strategy for building conversational AI agents for the enterprise.
Requirements
- Advanced proficiency in SQL and Python, with a strong, foundational knowledge in statistics and experimental design.
- A proven history of designing, running, and analyzing A/B test experiments at scale.
- Ability to reason about and analyze machine learning models (including understanding their assumptions, trade-offs, and impact on product outcomes).
- Strong ability to structure ambiguous problems, translate them into analytical approaches, and reliably deliver business impact through data.
Responsibilities
- Conduct rigorous, deep-dive analyses using advanced statistical methods on user behavior, product performance, and business outcomes to surface highly actionable insights.
- Design, implement, and analyze controlled A/B test experiments at scale to measure product changes and customer experience; be the champion for establishing and defining our experimentation culture.
- Evaluate and interpret the performance of ML models (e.g., classification, recommendation, LLM-based systems), helping product and engineering teams reason through trade-offs, limitations, and business implications.
- Enhance and extend the company's data models, metrics, and dashboards to ensure consistent, scalable reporting across all teams.
- Build and continuously improve the data stack, ensuring scalable models, pipelines, and tools that empower self-serve analytics across the company.
- Communicate findings clearly and persuasively to executives and cross-functional stakeholders, directly influencing product strategy and key business decisions.
- Work with cutting-edge conversational AI agents and LLM-based systems.
Other
- 5+ years (or equivalent experience) in data science or product analytics roles, ideally within high-scale consumer or marketplace products.
- Excellent communication skills, with demonstrated experience influencing stakeholders and driving high-level decisions across diverse teams.
- 100% On-site role, five days a week, in our San Francisco office, fostering strong technical and strategic collaboration.
- Opportunity to influence at the highest levels, working directly with product and engineering leaders.
- Offers equity.
