Data Scientist

- Own and execute data science work across autonomy, safety, and product, focusing on the highest-impact analytical problems

- Analyze machine telemetry, operational data, and user workflows to surface insights that improve system performance, safety, and usability

- Define and track key metrics that measure system behavior and product outcomes

- Design and evaluate experiments, analyses, and validation approaches in partnership with engineering and product teams

- Collaborate closely with ML platform and data engineering teams to ensure data is accessible, reliable, and fit for analysis

- Communicate findings clearly to technical and non-technical stakeholders, influencing roadmap and design decisions

- Contribute to the foundation of data science practices at Bedrock, helping shape how future work and teams scale

- 5+ years of experience in data science, applied analytics, or applied machine learning roles

- Comfort operating as a senior IC in a fast-growing startup, balancing execution with technical judgment and prioritization

- Ability to work independently, define analytical approaches, and drive projects from concept to insight

- Experience working with complex, high-volume, or real-time data (e.g., robotics, autonomy, geospatial systems, computer vision outputs, IoT, ad-tech, or large-scale consumer platforms)

- Strong grounding in statistics, experimental design, and data analysis, with a track record of influencing decisions through data

- Hands-on experience collaborating with data engineering and infrastructure teams on data pipelines, data quality, and scalable analysis workflows

- Proficiency in Python and SQL, with experience using modern tooling like agentic AI

- Bachelor's degree in Computer Science, Engineering, Statistics, or a related field (advanced degree welcome but not required)

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.