Applied Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate closely with commercial, finance, and executive stakeholders to effectively transform ambiguous and intricate business inquiries into clearly defined, actionable analytical challenges, anticipating organizational requirements before they are explicitly communicated.

• Design and conduct thorough experimental and quasi-experimental analyses (e.g., Difference-in-Differences, propensity score methods) to assess promotions, measure causal effects, and model category economics such as price elasticity and impacts of regulatory taxes.

• Create and manage extensive, complex commercial datasets utilizing SQL and dbt on BigQuery, and develop, implement, and oversee robust market-share and demand forecasting models that inform seven-figure decisions.

• Construct predictive models and performance metrics that guide field operations, directly influencing how field sales managers allocate their time to maximize store-level value.

• Implement LLMs and AI agents to categorize unstructured commercial data (e.g., receipts, transactions) and develop internal tools that democratize data access, empowering stakeholders to independently address their inquiries.

⛳️ Requirements

• Proficiency in SQL, with the ability to write models that are accurate, efficient, and maintainable.

• A solid analytical and statistical background.

• Experience in experimental design and causal inference, with the capability to distinguish genuine results from artifacts of data selection.

• Proficient in Python for analysis (including pandas and the surrounding ecosystem).

• Ability to link data to commercial realities and effectively communicate insights with key stakeholders.

• Skilled in utilizing AI tools to enhance personal productivity and create tools for others.

• A minimum of 5 years of experience in building analyses and models within the industry.

• Preferred experience with commercial, retail, CPG, or syndicated market data (Circana, NielsenIQ, IRI, POS, or scan data).

• Preferred ability to approach analytics engineering with an emphasis on version control, testing, documentation, and codebase hygiene.

• Preferred familiarity with Juul’s technology stack and the broader modern data ecosystem.

🏝️ Benefits

• An opportunity to advance your career. We’ll assist you in setting ambitious goals and achieving them.

• A talented and supportive team to work with.

• Equity and performance bonuses, ensuring every employee has a stake in our success.

• Subsidies for cell phones, commuter benefits, and discounts on JUUL products.

• Comprehensive medical, dental, and vision insurance, along with disability, life insurance, family support, wellness, legal, and employee assistance program benefits.

• A 401(k) plan with company matching.

• Additionally, biannual discretionary performance bonuses.