Note: The job is a remote job and is open to candidates in USA. Juul Labs is committed to transitioning adult smokers away from combustible cigarettes and is looking for a Data Scientist to leverage commercial datasets for actionable insights. The role involves partnering with various stakeholders to analyze market data, evaluate promotions, and guide strategic decisions through data modeling and forecasting.
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
Skills
- SQL expertise, with the judgment to write models that are correct, efficient, and maintainable
- A strong analytical and statistical foundation
- Experience with experimental design, causal inference, and the instinct to tell a real result from an artifact of how the data was selected
- Working fluency in Python for analysis (pandas and the surrounding ecosystem)
- Ability to connect data to commercial reality, and effectively communicate with key stakeholders about your findings
- Fluent in using AI tools to multiply your own output and to build tools for others
- 5 years of experience building analysis and models in industry
- Bachelor's degree required
- 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
- Preferred familiarity with Juul's stack and the broader modern data ecosystem
- Preferred Master's degree in a quantitative field (statistics, economics, math, computer science, or similar)
Benefits
- A place to grow your career. We’ll help you set big goals - and exceed them
- People. Work with talented, committed and supportive teammates
- Equity and performance bonuses. Every employee is a stakeholder in our success
- 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
- 401(k) plan with company matching
- Plus biannual discretionary performance bonuses
Company Overview