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.
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).
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.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
