Applied Scientist
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Job Description
Applied Scientist leveraging large datasets to inform pricing and distribution decisions at Juul Labs. Collaborating with stakeholders to evaluate promotions and build forecasting models.
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.
Requirements:
- 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
- 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.
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
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