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)