Data Scientist

Join the team bringing advanced autonomy to the built world At Bedrock, we’re moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we’re deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we’re working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage. This is where algorithms meet steel-toed boots. You’ll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can’t touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us. The Role: Bedrock Robotics is hiring a Data Scientist to lead high-impact data science work across autonomy, safety, and product. In this role, you will operate as a senior technical individual contributor, partnering closely with autonomy, machine learning, backend, and product teams to extract insights from complex, real-world data generated by autonomous construction machines and their operators. You will work across the full data science lifecycle (problem framing, analysis, measurement, and communication) while helping establish foundational practices for how data science is applied at Bedrock. This role is ideal for a senior-to-staff-level data scientist who enjoys operating in ambiguous problem spaces, working close to production systems, and delivering insights that directly influence engineering and product decisions. What you'll do: 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 Required Qualifications: 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.