Data Scientist

At Bedrock, we're moving AI out of the lab and into the real world. Our team includes 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 equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects.
We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction.
This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, 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)

Bedrock Robotics is an Equal Opportunity Employer

We’re committed to building a diverse and inclusive workplace. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, disability, veteran status, genetic information, or any other protected characteristic.

Reasonable Accommodations

We want our hiring process to be accessible to everyone. If you need an accommodation to participate in the application or interview process, please let your recruiter know so we can support you.