Senior Manage of Data Science at Smart LLC

Torrance, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Apr, 26

Salary

160000.0

Posted On

17 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, R, SQL, Machine Learning, Statistical Modeling, Marketing Analytics, Forecasting, Data Engineering, Feature Engineering, Model Interpretability, Cloud-Based Data Systems, Dashboarding Tools, Agile Environment, Communication Skills, Experimentation, Performance Measurement

Industry

Motor Vehicle Manufacturing

Description

Description About the Role 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. Key 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. Location: Hybrid (Los Angeles, CA) Department: Advanced Analytics Reports to: VP of Advanced Analytics Compensation: $140 - 160k annually plus bonus. Requirements Qualifications 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. Preferred Skills 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 for marketing optimization and forecasting. Collaborate with various teams to translate model outputs into actionable insights.