[Remote] Applied Scientist

Note: The job is a remote job and is open to candidates in USA. Juul Labs is dedicated to transitioning the world’s billion adult smokers away from combustible cigarettes through quality, research, and innovation. The Applied Scientist will leverage large datasets to provide actionable insights for leadership, influencing pricing and distribution decisions in a competitive market.ResponsibilitiesPartner 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 askedDesign 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 impactsArchitect 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 decisionsBuild 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 valueDeploy 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 questionsSkillsSQL expertise, with the judgment to write models that are correct, efficient, and maintainableA strong analytical and statistical foundationExperience with experimental design, causal inference, and the instinct to tell a real result from an artifact of how the data was selectedWorking 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 findingsFluent in using AI tools to multiply your own output and to build tools for others5 years of experience building analysis and models in industryBachelor's degree requiredPreferred 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 hygienePreferred familiarity with Juul's stack and the broader modern data ecosystemPreferred Master's degree in a quantitative field (statistics, economics, math, computer science, or similar)BenefitsA place to grow your career. We’ll help you set big goals - and exceed themPeople. Work with talented, committed and supportive teammatesEquity and performance bonuses. Every employee is a stakeholder in our successCell phone subsidy, commuter benefits and discounts on JUUL productsExcellent medical, dental and vision, disability, and life insurance, plus family support, wellness, legal, and employee assistance program benefits401(k) plan with company matchingPlus biannual discretionary performance bonusesCompany OverviewJuul Labs is a thriving team of scientists, engineers, designers and professionals who are committed to offering adult smokers alternatives to combustible cigarettes, while combating underage use of our products. It was founded in 2015, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.juul.com.