Lead a team of Data Scientists and Machine Learning Engineers to build and deploy ML solutions that enhance customer and agent experiences, ensuring best practices and operational efficiency.
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
What You'll Need
Nice to Have
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact [email protected].
To access Chewy's Customer Privacy Policy, please click here.
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
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.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact [email protected].
To access Chewy's Customer Privacy Policy, please click here.
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Top Skills
Athena
AWS
Azure
Dbt
GCP
Iceberg
Plotly
Python
PyTorch
R
Redshift
Scikit-Learn
Spark
SQL
Streamlit
Tableau
TensorFlow
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