Business Analyst acting as a critical link between business and technical teams at Vodafone. Involves gathering requirements and ensuring technical specifications in telecom projects.
About the role
- Lead Data Scientist driving advanced analytics and AI innovation in retail business at Cox Automotive. Collaborating across teams while managing a small team of data scientists.
Responsibilities
- 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.
Requirements
- Bachelor’s degree in a related discipline and 6 years’ experience in a related field
- 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
- Degree in Statistics, Applied Math, Economics, or related field
- Must have 6+ years of experience in data science, with a strong foundation in statistical modeling, machine learning, and AI.
- Must have proven leadership experience managing data science teams and cross-functional initiatives
- 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
- Expertise in at least two of the following: Statistics: GLMs, time series, clustering, PCA. Operations Research: Optimization, simulation, heuristics. Machine Learning: Supervised/unsupervised models, tuning, deployment.
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
- up to 160 hours of paid wellness annually for their own wellness or that of family members
- additional paid time off in the form of 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))
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