Lab37
Data Scientist
Warrendale, PA · Full-time
Sponsorship not specified$174k-$222kDetected 11 days ago
PythonAlgorithmsSQLMachine LearningData AnalysisData EngineeringData ScienceStatisticsForecastingRoboticsResearchCollaboration
About the role
- Translate ambiguous problems into structured models that inform product, operations, and business decisions.
- Why join us - Demand for online food delivery is growing really fast!
- What else you need to know This role is based in our Los Angeles office.
Responsibilities
- Perform in-depth data analysis to identify trends, patterns, and insights.
- Create and maintain dashboards and reports to visualize key metrics and communicate findings.
- Design, build, and maintain robust and scalable data pipelines for various data sources.
- Model and optimize end-to-end system decision variables across the operational ecosystem.
- 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.
- Support business operations with data-driven insights and analysis.
- Track record building and deploying models that drive measurable business impact.
- Strong programming skills (e.g., Python, SQL) with the ability to build production-ready data pipelines and models.
Requirements
- Experience with operations research or constraint-based optimization (e.g., LP/MIP, scheduling, resource allocation).
- 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.
- 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.
Nice to have
- Required Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Operations Research, or a related quantitative field
- advanced degree a plus.
Compensation
- The base salary range for this role is $174,000 - $222,000 per year.
Benefits
- Base salary is just one part of your total rewards package.
- You may also be eligible for equity awards and an annual performance-based bonus.
- Benefits Summary (USA Full-Time Exempt Employees):
- Medical, dental, and vision insurance (multiple plans, incl.
- Company-paid life and disability insurance (short- and long-term).
Company info
- 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.
- 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.
- Own the forecasting, analysis, and optimization models that turn Lab37's customer and operational data into reliable decision systems.
- Drive models from concept through deployment while balancing accuracy, interpretability, latency, and real-world impact.
- What we are looking for
- Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery.
This listing is sourced directly from Lab37's careers page and normalized into a canonical job model.