CloudKitchens

Data Scientist

CloudKitchens$184K — $234K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, etc.); advanced degree preferred.
  • 3+ years of experience in data science, machine learning, or operations research.
  • Proven track record of deploying models that have tangibly impacted business outcomes.
  • Strong analytical skills to diagnose issues and evaluate trade-offs.
  • Proficient in programming languages such as Python and SQL for building data solutions.
  • Ability to conceptualize complex systems in a structured manner.

Responsibilities

  • Conduct comprehensive data analysis to uncover trends and insights.
  • Develop and implement statistical and machine learning models to address business challenges.
  • Create and sustain dashboards for visualizing metrics and sharing insights.
  • Define and uphold data governance and infrastructure across the organization.
  • Build and optimize data pipelines ensuring quality and performance.
  • Create models to optimize operational processes based on defined trade-offs.
  • Collaborate with cross-functional teams to translate data insights into actionable requirements.

Benefits

  • Medical, dental, and vision insurance options including HSAs.
  • Company-covered life and disability insurance.
  • Optional voluntary insurance coverage.
  • Discounted pet insurance.
  • 401(k) retirement plan available.
  • Health Savings and Flexible Spending Accounts offered.
  • Generous time off policies including flexible vacation, paid holidays, and parental leave.
Full Job Description
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.

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 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.
  • 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.

Desirable Skills
  • 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.


What else you need to know

This role is based in our Los Angeles office. As a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That's why all of our office-based teams work onsite, five days a week.

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, 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)
  • Time Off policies:
    • Discretionary vacation days
    • 8 paid holidays per year
    • Paid sick time
    • Paid Bereavement leave
    • Paid Parental Leave

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others?

#LI-Onsite

About CloudKitchens

CloudKitchens is a technology company that provides a platform for restaurants to operate delivery-only kitchens. The company's platform allows restaurants to expand their delivery reach without the need for additional physical locations, while also providing real-time data and analytics to optimize operations. CloudKitchens was founded in 2016 by Travis Kalanick, the co-founder of Uber, and is headquartered in Los Angeles, California.
Learn more about CloudKitchens
Size
1,000 employees
Industry
Founded
2016

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