Cox Automotive is hiring a Senior Data Scientist to join our Insights & Advisory team. In this role, you will lead the development of advanced analytics and AI/ML models that power innovative products and inform strategic decisions. You will own end-to-end projects with a focus on market share modeling, macroeconomic forecasting, financial modeling, and strategic analytics within our collaborative, forward-thinking environment.
What You'll Do
- Design, develop, and implement predictive, prescriptive, and optimization models using advanced statistical and machine learning techniques.
- Utilize AI tools for rapid ML prototyping, automated feature engineering, and hyperparameter optimization.
- Integrate AI-enhanced models into production systems and establish automated monitoring frameworks.
- Apply interpretability frameworks and AI-driven insights to communicate results effectively.
- Translate business problems into analytical solutions and select appropriate methodologies.
- Perform data preparation, feature engineering, and validation for large, complex datasets.
- Deliver production-ready code and collaborate with engineering teams for deployment.
- Develop and maintain methodologies for estimating and reporting market share while building models with demographic, inventory, demand, pricing, and other data.
- Create macroeconomic and business forecasting models to anticipate trends and inform strategic decisions.
- Design financial models and apply advanced techniques to evaluate incentives, pricing strategies, and profitability.
- Serve as an internal consultant, framing business problems and aligning solutions with strategic objectives.
- Facilitate decision-making using structured approaches and leverage negotiation skills to drive consensus.
- Own data preparation, feature engineering, validation, and production-ready code in Python and SQL.
- Partner with engineering to integrate models, automate monitoring, and ensure reliability.
- Establish responsible AI practices including bias detection, interpretability, and compliance monitoring.
- Partner with product, engineering, and business stakeholders to align models with strategic goals.
- Present findings and recommendations clearly to both technical and non-technical audiences.
- Mentor junior staff, contribute to team capability building, and engage in thought leadership.
What We're Looking For
- A Bachelor’s degree in Statistics, Econometrics, Operations Research, Applied Mathematics, Computer Science, Economics, or a related quantitative field and 4 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 2 years’ experience; a Ph.D. and up to 1 year of experience; or 16 years’ experience.
- Proven experience applying descriptive, predictive, and prescriptive analytics to real-world business problems.
- Strong background in statistics and econometrics, including panel data analysis, time series modeling, and causal inference.
- Hands-on experience with market share modeling and reporting.
- Experience in macroeconomic forecasting and financial modeling/engineering.
- Proficiency in Python and SQL, with ability to deliver production-quality code and manage the full ML lifecycle.
- Experience with AWS or other cloud platforms and collaboration with engineering teams for deployment.
- Ability to integrate models into enterprise systems and maintain production-ready code.
- Experience operating as an internal consultant within a complex enterprise environment.
- Exceptional communication and problem-solving skills.
Nice to Have
- Advanced statistical techniques: GL GLMs, time series, forecasting, clustering, PCA; causal and panel methods.
- Optimization methods: linear/mixed integer programming, heuristic approaches, network flow.
- ML frameworks: scikit learn, TensorFlow, PyTorch; model interpretability with SHAP and LIME.
- Experience with data visualization tools (Tableau, Power BI) and compelling storytelling.
- Knowledge of CI/CD pipelines, data governance, and Agile methodologies.
- Market share modeling approaches: discrete choice, multinomial and nested logit, demand elasticity.
- Financial engineering: risk models, Monte Carlo, scenario analysis, option style incentive evaluation.
- AI accelerated development and agentic frameworks; CI/CD and Agile delivery.
- Data visualization and storytelling with Tableau or Power BI.
- Evidence of peer reviewed publications or conference presentations.
Technical Stack
- Languages & Querying: Python, SQL
- Cloud Platform: AWS
- ML Frameworks: scikit learn, TensorFlow, PyTorch
- Visualization Tools: Tableau, Power BI
Benefits & Compensation
- Compensation range: $101,500.00 - $169,100.00
- Flexible vacation policy
- Seven paid holidays
- Up to 160 hours of paid wellness time annually
- Additional paid time off for bereavement, voting, jury duty, volunteering, military leave, and parental leave
- Health care insurance (medical, dental, vision)
- Retirement planning (401(k))
Work Mode
This is a local-country position based in the USA.
Cox is an Equal Employment Opportunity employer.
