Juul Labs

Juul Labs

Data Scientist

Remote - United States

No sponsorship$165k-$206kDetected 20 days ago
PythonSQLBigQueryRESTPandasdbtData ScienceLLMsAgentic AIStatisticsForecastingCustomer SupportResearchExperimental DesignLeadershipDemand Planning

About the role

  • ROLE AND RESPONSIBILITIES: The Data Scientist will turn large and varied commercial datasets into actionable items for leadership.
  • The team is small and high-leverage, and our work shapes pricing, distribution, and investment decisions on a regular basis.
  • We believe the best data people do both, and we have built the team around that conviction.

Responsibilities

  • Partner directly with commercial, finance, and executive stakeholders to proactively transform vague, complex business questions into scoped, actionable analytical problems, anticipating organizational needs before they are explicitly asked
  • Design and run rigorous experimental and quasi-experimental analyses (e.g., Diff-in-Diff, propensity methods) to evaluate promotions, measure causal impact, and model category economics like price elasticity and regulatory tax impacts
  • Architect and maintain large, complex commercial datasets using SQL and dbt on BigQuery, and build, deploy, and monitor robust market-share and demand forecasting models to drive seven-figure decisions
  • Build the predictive models and performance metrics that guide field operations, directly determining where and how field sales managers allocate their time to maximize store-level value
  • Deploy LLMs and AI agents to classify unstructured commercial data (e.g., receipts, transactions) and build internal tools that democratize data access and enable stakeholders to answer their own questions.
  • The Applied Scientist team is a small group but creates impactful changes at Juul.
  • The successful candidate will have the ability to support leadership on pricing, distribution, and investment decisions that are made on a regular basis.
  • We have the opportunity to address one of the world's most intractable challenges through a commitment to exceptional quality, research, design, and innovation.
  • If the opportunity to build your career is compelling, read on for more details.

Requirements

  • SQL expertise, with the judgment to write models that are correct, efficient, and maintainable
  • Experience with experimental design, causal inference, and the instinct to tell a real result from an artifact of how the data was selected
  • Ability to connect data to commercial reality, and effectively communicate with key stakeholders about your findings.
  • 5 years of experience building analysis and models in industry
  • A strong analytical and statistical foundation.
  • Working fluency in Python for analysis (pandas and the surrounding ecosystem)
  • Fluent in using AI tools to multiply your own output and to build tools for others.

Nice to have

  • Preferred familiarity with Juul's stack and the broader modern data ecosystem.
  • Bachelor's degree required
  • Preferred Master's degree in a quantitative field (statistics, economics, math, computer science, or similar)
  • Plus biannual discretionary performance bonuses
  • Preferred experience with commercial, retail, CPG, or syndicated market data (Circana, NielsenIQ, IRI, POS or scan data).
  • Preferred ability to view analytics engineering craft: version control, testing, documentation, and codebase hygiene.

Compensation

  • $165,000 - $206,000 USD
  • $150,000 - $187,000 USD
  • $141,000 - $176,000 USD
  • $126,000 - $157,000 USD

Benefits

  • Equity and performance bonuses.
  • Cell phone subsidy, commuter benefits and discounts on JUUL products
  • Excellent medical, dental and vision, disability, and life insurance, plus family support, wellness, legal, and employee assistance program benefits

Company info

  • Juul Labs's mission is to transition the world's billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products.
  • Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent.
  • We are a diverse team that is united by this common purpose and we are hiring the world's best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals.
  • 401(k) plan with company matching
  • We are looking for someone who feels equally at home building a clean, well-tested data model over billions of rows of transaction data as they do designing the analysis that tells us whether a promotion drove incremental sales or simply rewarded customers who would have bought anyway.
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This listing is sourced directly from Juul Labs's careers page and normalized into a canonical job model.