Senior Data Scientist

ATOMS Careers page; Los Angeles (CA); On-site; USD 184,000 - 234,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k)

Discretionary vacation days

Flexible Spending Accounts

Job summary

Lab37 Robotics is seeking a Data Scientist in Los Angeles to develop and optimize data models for operational efficiency in food production. The ideal candidate will have a bachelor's degree in a quantitative field and at least three years of relevant experience.

This role includes responsibilities such as conducting in-depth data analysis, developing predictive modeling, and collaborating with various teams to enhance data utilization across the organization. Strong programming skills in Python and SQL are essential.

Qualifications

• 3+ years of relevant experience in data science or operations research.
• Ability to develop statistical and machine learning models.
• Strong analytical skills and programming expertise.

Responsibilities

• Conduct data analysis to inform business decisions.
• Develop and deploy predictive models and algorithms.
• Collaborate with cross-functional teams to address data needs.

Skills

Data analysis

Machine learning

Python

SQL

Operations research

Statistical modeling

Simulation modeling

Education

Bachelor's degree in Statistics, Mathematics, or related field

Tools

Data visualization tools

Job description

About Lab37 Robotics

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.

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.
• 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 trade‑offs (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.

Cross‑functional Collaboration

• 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.

What We’re 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 trade‑offs.
• 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.
• 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.
• Knowledge of the rapidly growing online food delivery market and its impact on restaurant operations.

This role is based in our Los Angeles office. All office‑based teams work onsite, five days a week.

Compensation

The base salary range for this role is $184,000 – $234,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. 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, including 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
• 401(k)
• Health Savings Account (HSA)
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Discretionary vacation days
• 8 paid holidays per year

Benefits are subject to change at the company’s discretion.

Equal Employment Opportunity

We are a federal contractor or subcontractor. To comply with VEVRAA, we provide equal employment opportunity to qualified people with disabilities. The decision to complete any disability self‑identification is voluntary and will not influence hiring decisions. We are committed to a workplace that is inclusive and free from discrimination.

Application Process

The position is ongoing and accepts applications on a continuous basis.