Data Scientist

Lab37 • Los Angeles, CA

3d • $184,000 - $234,000 • Onsite

About The Position

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.

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.

Nice To Haves

• Experience with operations research or constraint-based optimization (e.g., LP/MIP, scheduling, resource allocation).
• Experience building simulation models for complex, real-world systems (e.g., 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.

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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level