Lead Data Scientist

Cox EnterprisesDraper, UT
42dHybrid

About The Position

We are seeking a forward-thinking Lead Data Scientist to drive advanced analytics and AI innovation across our Retail business. This role blends technical depth with strategic leadership, guiding a small team while collaborating across Consumer Dealer Analytics (CDA) to accelerate analytics, insights, and AI adoption. The ideal candidate will be a hands-on modeler, a mentor, and a change agent who thrives in a fast-paced, data-first environment. The Lead Data Scientist will drive advanced analytics and AI innovation across the Retail business, managing a team of two and contributing to CDA-wide AI learning and development. This role blends technical depth with strategic leadership, guiding AI adoption and delivering actionable intelligence.

Requirements

  • Bachelor's degree in a related discipline and 6 years' experience in a Data Scientist related position. The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 year of experience; or 10 years' experience in a related field
  • Must live within commutable distance to Atlanta GA, Irvine CA, Burlington VT or Draper UT office and work hybrid model 2+ days in office weekly.
  • Must have 6+ years of experience in data science, with a strong foundation in statistical modeling, machine learning, and AI. (excluding internship and academics)
  • Must have proven leadership experience managing data science teams and cross-functional initiatives.
  • Visionary leader who can shape the future of our Decision Science practice.
  • Strong command of Python and libraries such as pandas, NumPy, scikit-learn, TensorFlow, and PyTorch.
  • Use of GitHub Copilot and other GenAI tools for AI-assisted coding and productivity.
  • Strong communication skills with the ability to translate technical insights into business value.
  • Expertise in SQL, Python, Dataiku, and modern AI tools for code generation, feature engineering, and model optimization.
  • Experience with Jupyter Notebooks for exploratory analysis and reproducible workflows.
  • Experience with Vertex AI Notebooks for scalable model development and integration with Google Cloud services.
  • Expertise with cloud platforms (Snowflake, Azure, AWS) and data governance principles.
  • Knowledge of ETL pipelines using APIs, FTP transfers, and curated views.
  • Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
  • Statistics: GLMs, time series, clustering, PCA.
  • Operations Research: Optimization, simulation, heuristics.
  • Machine Learning: Supervised/unsupervised models, tuning, deployment.

Nice To Haves

  • Experience in retail analytics or consumer behavior modeling.
  • Exposure to agentic workflows and AI-enhanced productivity tools.
  • Participation in AI communities of practice or organizational AI strategy initiatives.
  • Exposure to LangChain and LangGraph for building AI agents and chatbots.
  • Experience with Power BI, Tableau Pulse, and Lucidchart for visualization, reporting, and process mapping.

Responsibilities

  • Strategize with executive leaders and translate insights into business value
  • Lead end-to-end development of predictive, prescriptive, and perceptive models to support Retail strategy and operations.
  • Manage and mentor a team of data scientists, fostering growth and technical excellence.
  • Collaborate with product, engineering, business stakeholders, and external partners to translate complex data insights into actionable strategies.
  • Serve as a core member of the CDA AI Learning & Development team, helping shape and deliver AI training and enablement across the organization
  • Identify and implement automation opportunities using AI-assisted tools (e.g., Snowflake Cortex, GitHub Copilot, M365 Copilot)
  • Champion MLOps practices for scalable, secure, and efficient model deployment.
  • Stay current on AI/ML trends and tools, continuously evaluating their impact on business outcomes.

Benefits

  • The Company offers eligible employees 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; and up to 160 hours of paid wellness annually for their own wellness or that of family members.
  • Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
  • Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO).

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What This Job Offers

Job Type

Full-time

Career Level

Manager

Industry

Telecommunications

Number of Employees

5,001-10,000 employees

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