Data Scientist

Who We Are

Lab37 Robotics is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our industry.

Job Description Own the forecasting, analysis, and optimization models that turn Lab37’s customer and operational data into reliable decision systems. Translate ambiguous problems into structured models that inform product, operations, and business decisions. Drive models from concept through deployment while balancing accuracy, interpretability, latency, and real-world impact.

What You'Ll Do

Data Analysis Modeling Perform in-depth data analysis to identify trends, patterns, and insights. Develop statistical models and machine learning algorithms to solve business problems. Create and maintain dashboards and reports to visualize key metrics and communicate findings.

Data Pipeline Development Maintenance Help define Lab37's overarching data infrastructure, standards, and governance policies. Design, build, and maintain robust and scalable data pipelines for various data sources. Ensure data quality, integrity, performance, and reliability across all pipelines.

Operations Research and Optimization Model and optimize end-to-end system decision variables across the operational ecosystem. Define objective functions that formalize tradeoffs (cost, quality, timing, customer experience). Build optimization systems that continuously re-plan as inputs and conditions change.

Develop simulation tools for “what-if” analysis to guide product and operational decisions.

Requirements

Communicate complex concepts clearly to technical and non-technical stakeholders. Support business operations with data-driven insights and analysis.

What We Are Looking For

Required Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Operations Research, or a related quantitative field; advanced degree a plus. 3+ years of relevant work experience in data science, machine learning, statistics, operations research, or similar domains. Track record building and deploying models that drive measurable business impact.

Strong analytical and statistical rigor; able to diagnose performance, identify root causes, and quantify tradeoffs. , Python, SQL) with the ability to build production-ready data pipelines and models. Systems-thinking mindset; able to model complex, constraint-driven environments end-to-end.

, LP/MIP, scheduling, resource allocation). , discrete-event or digital twins). Experience working with real-time operational or telemetry data in production environments.

Experience in food service, on-demand delivery, or just-in-time manufacturing / production systems.

Why Join Us

Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery.

Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success. What else you need to know This role is based in our Los Angeles office.