Applied Scientist

Transforming complex commercial datasets into actionable insights, the full-time remote Applied Scientist will partner with stakeholders to design experiments, evaluate promotions, and develop predictive models that inform pricing and distribution strategies. Key responsibilities: Partner with commercial, finance, and executive teams to translate complex business questions into actionable analytical problems Design and conduct experimental analyses to evaluate promotional effectiveness and model category economics Architect and maintain large commercial datasets using SQL and dbt, while building and monitoring market-share forecasting models Required qualifications: Expertise in SQL with the ability to create efficient and maintainable models Strong analytical foundation with experience in experimental design and causal inference Working fluency in Python, particularly with data analysis libraries like pandas Five years of experience in building analyses and models in an industry setting Bachelor's degree required; preferred Master's degree in a quantitative field