Applied Scientist

Juul Labs

5h • $126,000 - $206,000 • Remote

About The Position

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. We have the opportunity to address one of the world’s most intractable challenges through a commitment to exceptional quality, research, design, and innovation. 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. 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
• 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

Nice To Haves

• 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)

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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior