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 You’ll Do

• Lead the design and implementation of scalable, reliable machine learning and AI solutions that empower Chewy’s 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 Chewy’s business context.  

What You’ll Need

• Master’s 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.