Data Contributor Jobs at Chewy with Visa Sponsorship
Data Contributor roles at Chewy sit at the intersection of retail operations and data infrastructure, supporting product catalogs, customer insights, and supply chain accuracy. Chewy has a consistent track record of sponsoring international talent for this function across multiple visa categories.
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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.
The base salary range for this role is $137,500 - $225,000.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
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 CAAR@chewy.com.

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.
The base salary range for this role is $137,500 - $225,000.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
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 CAAR@chewy.com.
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Get Access To All JobsTips for Finding Data Contributor Jobs at Chewy Jobs
Align your credentials to specialty occupation standards
H-1B eligibility requires a bachelor's degree or higher in a directly related field. For Data Contributor roles, degrees in information systems, statistics, or computer science map cleanly. A general business degree alone may not satisfy USCIS specialty occupation criteria.
Target Chewy's catalog and supply chain data teams
Chewy's data work is concentrated in product data accuracy, vendor feeds, and inventory systems. Framing your resume around structured data management, data quality workflows, or PIM systems positions you for the roles where Chewy actively sources international candidates.
Ask about LCA status during offer negotiations
Before accepting an offer, confirm your employer has begun the Labor Condition Application with DOL. LCA certification is required before USCIS can accept an H-1B petition, and delays here can push your start date past the October 1 cap-subject window.
Search Migrate Mate to filter open Data Contributor roles by sponsorship type
Not all Chewy postings clearly advertise sponsorship eligibility upfront. Use Migrate Mate to filter specifically for Data Contributor openings at Chewy by the visa categories that apply to your situation, saving you from applying to roles that won't move forward.
Prepare a degree equivalency letter for three-year degrees
USCIS scrutinizes whether international degrees meet U.S. bachelor's equivalency. If you hold a three-year degree, obtain a credential evaluation from a NACES-approved organization before Chewy's HR team submits the I-129 petition to avoid a costly Request for Evidence.
Data Contributor at Chewy jobs are hiring across the US. Find yours.
Find Data Contributor at Chewy JobsFrequently Asked Questions
Does Chewy sponsor H-1B visas for Data Contributors?
Yes, Chewy sponsors H-1B visas for Data Contributor roles. The role typically qualifies as a specialty occupation requiring a degree in a relevant technical field, which is the foundational requirement for H-1B eligibility. Chewy's HR and immigration team handles the Labor Condition Application with DOL and the I-129 petition with USCIS on the employee's behalf.
Which visa types are commonly used for Data Contributor roles at Chewy?
H-1B is the most common visa for full-time Data Contributor hires. For recent graduates, F-1 OPT and CPT are used during or immediately after studies. Canadian and Mexican nationals may qualify under TN status if the role maps to an eligible USMCA occupation category. For longer-term sponsorship, Chewy also supports EB-2 and EB-3 Green Card pathways.
What qualifications are expected for Data Contributor roles at Chewy?
Most Data Contributor roles at Chewy require a bachelor's degree in a field like information systems, data science, or computer science. Practical experience with data entry workflows, catalog management platforms, or data quality tools carries significant weight. Chewy's retail environment means familiarity with product data structures, vendor data feeds, or e-commerce catalog systems is a strong differentiator.
How do I apply for Data Contributor jobs at Chewy?
You can browse and apply for Data Contributor openings at Chewy directly through Migrate Mate, which surfaces roles filtered by visa sponsorship type so you can identify positions that match your authorization. Applications typically go through Chewy's careers portal, and once an offer is extended, Chewy's internal immigration team coordinates the sponsorship paperwork with outside counsel.
How do I plan my timeline around Chewy's H-1B sponsorship process?
H-1B cap-subject petitions must be filed by April 1 for an October 1 start date. If you're finishing OPT or graduating in spring, you'll want an offer in hand by February or early March at the latest to give Chewy's team time to complete the LCA with DOL before the USCIS filing window opens. Premium processing is available to shorten the USCIS adjudication period to 15 business days if your start date is time-sensitive.
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