Data Scientist

At Bedrock were 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 were deploying autonomous systems on heavy construction equipment across the country improving safety on job sites and accelerating schedules on critical infrastructure projects.

Were not here debating the future of AI. Were deploying it in the real just two years weve raised $350M and achieved the first fully autonomous excavator deployments in construction.

This is where algorithms meet steel-toed boots. Youll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations cant touch. If youre ready to do meaningful work on hard problems wed 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 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 youll 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

• Bachelors degree in Computer Science Engineering Statistics or a related field (advanced degree welcome but not required)

Our roles are often flexible. If you dont fit all the criteria or are in another location (especially one where we have an office like SF or NY) please apply anyway! Wed love to consider you.

Bedrock Robotics is an Equal Opportunity Employer

Were 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.

Required Experience:

IC