Associate Director- Data Science

What You'll Be Doing

Leadership:

• Leading a strong internal data analytics team to support the business.
• Partnering with others to understand business challenges.
• Crafting creative approaches to uncover the biggest opportunities for cost and time savings.
• Defining and driving the analytics strategy and modeling approaches.
• Driving the adoption of analytics in decision making.

Data Science:

• Design, implement, and orchestrate advanced AI solutions, including Generative AI and autonomous agent workflows, to automate complex processes and generate novel insights.
• Research and build proof‑of‑concept models utilizing various machine learning techniques & traditional statistical techniques to drive optimal business decisions for various use cases like call‑routing, revenue growth through initiatives like driving Walmart+ and other subscriptions, and scale these models into production using established MLOps pipelines for continuous monitoring and lifecycle management.
• Advanced knowledge of experimental design and testing frameworks like A/B testing, Multi‑armed Bandit testing etc. to guide optimal decisions across various key base‑management initiatives related to churn reduction, revenue growth and customer satisfaction.

Analytics & Data Enablement:

• Work on building either cloud‑based predictive modeling solutions (AWS/GCP using Pyspark or similar tools) or general predictive solutions depending on the use case, architecting scalable MLOps frameworks for continuous integration, continuous deployment (CI/CD), and automated model retraining.
• Synthesize predictive insights to concrete business actions and collaborate with teams across the value organization (Finance / Marketing / Operations / GTS / AI&D etc.) to drive successful business outcomes.

You'll need to have:

• Bachelor's degree or four or more years of work experience.
• Eight or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Strong Predictive / Prescriptive modeling experience.
• Demonstrated experience developing Large Language Model (LLM) applications and agentic workflows using frameworks such as Lang Chain, Llama Index, or similar technologies.
• Proven background in MLOps practices, including model deployment, pipeline automation, and proficiency with lifecycle management tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, Vertex AI, or AWS Sage Maker).
• Advanced proficiency in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc).
• Experience with deep learning frameworks (e.g., PyTorch, Tensor Flow) is highly preferred.
• High proficiency with Microsoft Excel and PowerPoint.
• Experience leading a team and managing large complex projects involving multiple work streams and stakeholders.

Even better if you have one or more of the following:

• Strong storytelling to drive recommendations based on the data analysis and articulate trade offs and communication plan to senior executives.
• Ability to translate complex ideas and express them in concise, simple to understand ways.
• Proven ability to take initiative, influence others and achieve results.
• Experience gathering, organizing and analyzing large amounts of information.
• Experience presenting ideas and content to a variety of stakeholders at various levels.
• Experience working collaboratively with a variety of stakeholders.
• Advanced research, analytical, and critical thinking skills with the ability to see things not readily apparent to others and to find unique solutions to complex challenges.
• Experience managing and influencing relationships at the senior executive level. Ability to present and interact with all levels of management.
• Excels at working under pressure on multiple projects simultaneously while meeting deadlines with frequent interruptions and redefined priorities.
• Skilled and comfortable at working within the marketing matrix.

In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees…