Join our dynamic Retail team as a Senior Data Science Leader, where you will spearhead advanced analytics and AI innovation. This exciting opportunity blends technical expertise with strategic vision, as you mentor a dedicated team and collaborate across Consumer Dealer Analytics (CDA) to enhance analytics, insights, and the adoption of AI technologies. We are looking for a hands-on modeler, a mentor, and a change agent who excels in a fast-paced, data-centric environment.
WHAT YOU'LL DO
- Drive the complete development of predictive, prescriptive, and perceptive models that align with our Retail strategy and operations.
- Lead and mentor a talented team of data scientists, fostering both professional growth and technical excellence.
- Collaborate with product teams, engineering, business stakeholders, and external partners to transform complex data insights into actionable strategies.
- Be an integral member of the CDA AI Learning & Development team, contributing to the design and delivery of AI training and enablement throughout the organization.
- Identify and implement automation opportunities utilizing AI-assisted tools such as Snowflake Cortex, GitHub Copilot, and M365 Copilot.
- Promote MLOps practices to ensure scalable, secure, and efficient model deployment.
- Stay abreast of the latest trends and technologies in AI and machine learning, continually assessing their potential impact on business outcomes.
WHO YOU ARE
Bachelor's degree in a related discipline, with 6 years of relevant experience. Alternatively, a master's degree with 4 years of experience, a Ph.D. with 1 year, or 10 years of related experience will be considered.A degree in Statistics, Applied Math, Economics, or a related field is preferred.Must be able to commute to our offices in Atlanta GA, Irvine CA, Burlington VT, or Draper UT, working in a hybrid model (2+ days in the office weekly).6+ years of experience in data science, particularly in statistical modeling, machine learning, and AI (excluding internships and academic experience).Demonstrated leadership experience in managing data science teams and cross-functional projects.A visionary leader capable of shaping the future of our Decision Science practice.Strong proficiency in Python and its libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).Experience with AI-assisted coding tools like GitHub Copilot and other GenAI resources.Excellent communication skills, able to convert technical insights into business value.Proficient in SQL, Python, Dataiku, and modern AI tools for code generation, feature engineering, and model optimization.Experience with Jupyter Notebooks for exploratory analysis and creating reproducible workflows.Familiarity with Vertex AI Notebooks for scalable model development and integration with Google Cloud services.Expertise in cloud platforms (Snowflake, Azure, AWS) and understanding 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.PREFERRED QUALIFICATIONS
Experience in retail analytics or consumer behavior modeling.Exposure to agentic workflows and AI-enhanced productivity tools.Participation in AI communities of practice or initiatives related to organizational AI strategy.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.Compensation for this role ranges from $119,600.00 to $199,400.00 per year. The final salary may vary based on location and the candidate's skills and experience. Additional compensation may be available through an incentive program.
BENEFITS
We offer flexible vacation policies, allowing employees to take time off as they feel necessary. Our benefits include seven paid holidays, up to 160 hours of paid wellness leave annually, and additional paid time off for bereavement, volunteering, military service, parental leave, and more.