Manager, Data Science III

Your Opportunity

Chewy is seeking a highly skilled and experienced Manager Data Science to join our growing Customer Care Data organization! In this role you will lead a team of Data Scientists and Machine Learning Engineers. You will collaborate with multi-functional partners to build develop and deploy machine learning and data-driven solutions that improve customer and agent experiences. You will guide projects from experimentation to production bridging advanced analytics with scalable engineering to deliver measurable business impact. This is a hands-on leadership role dedicated to technical depth innovation and execution excellence.

What Youll Do

• Lead the design and implementation of scalable reliable machine learning and AI solutions that empower Chewys Customer Care teams.
• Partner with engineering product operations and enterprise teams to identify high-impact use cases and translate business needs into technical solutions.
• Lead all aspects of the full data science lifecycle from data acquisition and feature engineering to model development deployment and performance monitoring.
• Implement best practices in experimentation model validation and continuous improvement ensuring rigor and reproducibility.
• Ensure models are operationalized through strong MLOps practices including CI/CD pipelines versioning and automated retraining and data quality and governance standards are maintained across all projects.
• Mentor and develop Data Scientists & Machine Learning Engineers fostering technical excellence scalable thinking and innovation within the team.
• Guide project prioritization and resource allocation balancing long-term innovation with near-term business needs.
• Communicate findings and recommendations to senior leaders through compelling narratives and data visualizations that drive strategic decisions.
• Stay ahead of emerging ML and AI techniques particularly in NLP LLMs and generative AI and evaluate their applicability to Chewys business context.

What Youll Need

• Masters degree (or Ph.D.) in Data Science Computer Science Statistics or a related field.
• 5 years of experience in data science or applied machine learning including at least 2 years leading technical teams.
• Strong programming skills in Python or R with experience in data manipulation and ML libraries (e.g. scikit-learn TensorFlow PyTorch).
• Solid understanding of machine learning algorithms statistical modeling experimental design and MLOps.
• Hands-on exposure to LLMs and advanced NLP techniques including fine-tuning prompt optimization and generative AI.
• Experience with SQL and data engineering concepts; familiarity with cloud platforms (AWS GCP or Azure).
• Familiarity with big data and analytics technologies (e.g. Spark dbt Iceberg Redshift Athena).
• Experience with data visualization tools (e.g. Tableau Streamlit Plotly).
• Proven ability to translate complex analytical outcomes into actionable business insights.
• Excellent communication and stakeholder management skills with the ability to align technical work to strategic objectives.

Nice to Have

• Knowledge of graph-based modeling optimization or recommendation systems.
• Previous experience in retail or e-commerce environments.

Required Experience:

Manager