Senior Data Scientist

Company

Cox Automotive - USA

Job Family Group

Data Intelligence & Science

Job Profile

Sr Data Scientist

Management Level

Individual Contributor

Flexible Work Option

Can work remotely anywhere in the specified country

Travel %

No

Work Shift

Day

Compensation

Compensation includes a base salary of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Job Description

The Insights & Advisory team at Cox Automotive is seeking a highly skilled Senior Data Scientist to lead the development of advanced analytics and AI/ML models that power innovative products and inform strategic decisions. This role blends deep expertise in statistical modeling, econometrics, machine learning, and AI acceleration with strong business acumen to deliver actionable insights for internal teams and automotive OEM clients.

 

As a Senior Data Scientist, you will work end-to-end on analytics projects – from data preparation and model development to deployment, governance, and stakeholder communication – with emphasis on market share modeling and reporting, macroeconomic forecasting, financial modeling and engineering, and strategic analytics.

 

You’ll work independently across all phases of analytics projects, from data preparation and model development to deployment and stakeholder communication, while championing responsible AI practices and mentoring junior team members.

 

Key Responsibilities:

 

Advanced Analytics & AI/ML Development

• 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 (e.g., SHAP, LIME) and AI-driven insights to communicate results effectively.

Data Analysis & Modeling

• 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.

Market, Economic, and Business Modeling

• Develop and maintain methodologies for estimating and reporting market share while also building models that leverage demographic, inventory, demand, pricing, and other relevant data sources.
• 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, while remaining adaptable to emerging business needs and diverse datasets.

Strategy and Internal Consulting

• Serve as an internal consultant, framing business problems and aligning solutions with strategic objectives.
• Facilitate decision-making using structured approaches; leverage negotiation and conflict resolution skills to drive consensus.

Data Engineering & Governance

• 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.

Collaboration, Leadership & Communication

• Partner with product, engineering, and business stakeholders to align models with s