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About the Role

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.

Responsibilities

• 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.
• 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.
• 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.
• Partner with operations, product, and engineering teams to translate data into crisp requirements.
• Communicate complex concepts clearly to technical and non-technical stakeholders.
• Support business operations with data-driven insights and analysis.

Requirements

• 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.
• Strong programming skills (e.g., 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.

Skills

• Python
• SQL
• Operations research
• Constraint-based optimization (e.g., LP/MIP, scheduling, resource allocation)
• Simulation models for complex, real-world systems (e.g., discrete-event or digital twins)
• Real-time operational or telemetry data in production environments
• Food service
• On-demand delivery
• Just-in-time manufacturing / production systems

Location

• Los Angeles

Work Type

• Onsite
• Full-time

Experience Level

• 3+ years

Education Level

• Bachelor's degree

Salary/Compensations

• $184,000 - $234,000 per year

Benefits

• Medical, dental, and vision insurance (multiple plans, incl. HSA options).
• Company-paid life and disability insurance (short- and long-term).
• Voluntary insurance: accident, critical illness, hospital indemnity.
• Optional supplemental life insurance for self, spouse, and children.
• Pet insurance discount.
• 401(k).
• Health Savings Account (HSA)
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Discretionary vacation days
• 8 paid holidays per year
• Paid sick time
• Paid Bereavement leave
• Paid Parental Leave
• Equity awards
• Annual performance-based bonus

About the Company

• 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.
• 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.
• You’ll be part of a team that helps restaurants succeed in online food delivery.
• 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.

Equal Opportunity

• We do our best work together. That’s why all of our office-based teams work onsite, five days a week.