Apply on Employer Site

Cox Enterprises · 18 hours ago

Senior Data Scientist

United States

Full-time

Remote

Mid, Senior Level

$102K/yr - $169K/yr

4+ years exp

Cox Automotive is a leader in automotive technology and data science, seeking a highly skilled Senior Data Scientist to join their Insights & Advisory team. This role involves developing advanced analytics and AI/ML models to provide actionable insights and support strategic decisions for both internal teams and automotive clients.

AdvertisingBroadcastingDigital MediaTelecommunications

Growth Opportunities

H1B Sponsor Likely

Responsibilities

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

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 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

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

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

Qualification

Machine LearningStatistical ModelingPythonSQLMacroeconomic ForecastingFinancial ModelingData VisualizationCommunication SkillsProblem-Solving SkillsMentoring

Required

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 in a related field

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

Preferred

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

Benefits

The flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations

Seven paid holidays throughout the calendar year

Up to 160 hours of paid wellness annually for their own wellness or that of family members

Bereavement leave

Time off to vote

Jury duty leave

Volunteer time off

Military leave

Parental leave

Health care insurance (medical, dental, vision)

Retirement planning (401(k))

Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)

Company

Cox Enterprises

Glassdoor4.6

Cox Enterprises is a communications, media, and automotive services company.

Founded in 1898

Atlanta, Georgia, USA

10001+ employees

http://coxenterprises.com

H1B Sponsorship

Cox Enterprises has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (4)

2022 (7)

2021 (1)

2020 (3)