Applied Scientist

Juul Labs

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

Posted 6/13/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $126,000 - $206,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryPandasPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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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Hard Skills & Tools

SQLdbtBigQueryexperimental designcausal inferencePythonpandaspredictive modelingperformance metricsdata analysis

Soft Skills

analytical skillscommunicationstakeholder engagementproblem-solvingjudgmentinstinct for data interpretationcollaborationadaptabilitycritical thinkingdata storytelling