Senior Manage of Data Science
About the position We’re looking for a Senior Manager of Data Science to build and execute data-driven systems that directly shape how Chemical Guys markets, forecasts, and grows. This role blends data engineering, modeling, and inference, with a strong emphasis on hands-on development and implementation. You’ll be deeply involved in developing and improving Market Mix Models, Amazon Paid Search Optimization algorithms, and Forecasting frameworks — all built primarily in R and SQL. This is an opportunity to take ownership of technically challenging, high-impact analytics work while collaborating closely with business leaders. Responsibilities • Develop and refine statistical and machine learning models that drive marketing optimization, forecasting, and pricing decisions. • Build and maintain data pipelines and modeling infrastructure to ensure consistent, automated performance. • Work closely with Marketing, Finance, and Operations teams to translate model output into actionable insights. • Conduct deep-dive analyses to support experimentation, performance measurement, and strategy evaluation. • Continuously evaluate and improve data quality, feature engineering, and model interpretability. • Collaborate with IT to ensure alignment on data infrastructure, governance, and model deployment standards. Requirements • Master’s degree (or higher) in Statistics, Data Science, Applied Mathematics, or related quantitative discipline. • 5–8 years of experience in applied analytics or data science roles. • Expertise in R and SQL, including model development, data manipulation, and workflow automation. • Hands-on experience with modeling techniques such as regression, Bayesian inference, time-series forecasting, and optimization. • Experience with marketing analytics or Market Mix Modeling (MMM) strongly preferred. • Strong communication skills — able to explain analytical findings clearly to both technical and non-technical audiences. • Comfortable working in an agile, fast-paced environment with minimal supervision. Nice-to-haves • Experience with cloud-based data systems (BigQuery, Snowflake, Azure). • Exposure to media data (Amazon Ads, Google Ads, Meta). • Familiarity with dashboarding tools (Shiny, Power BI, Tableau). • Understanding of data engineering concepts (ETL, workflow automation, modular pipeline design). Apply tot his job