Data Scientist II
Our Opportunity
We are seeking a hands-on and highly motivated Data Scientist II to join our growing team. In this role, you will help build AI-powered and machine learning solutions that improve customer and agent experiences across Chewy Customer Care. This role is ideal for someone who enjoys working in ambiguity, rapidly experimenting with ideas, building prototypes, and translating data science concepts into practical, scalable solutions.
As a Data Scientist II, you will contribute across the full data science lifecycle, from problem framing and data exploration to model development, experimentation, deployment, and communication of results. You will work closely with product, engineering, operations, and business stakeholders to identify opportunities where ML, and data-driven systems can create measurable impact.
What You'll Do
- Own and contribute to the end-to-end process of identifying business problems, exploring data, building models, and refining solutions toward impact.
- Build and iterate on AI/ML prototypes quickly, testing multiple approaches and learning from results.
- Develop machine learning, deep learning, and GenAI-enabled solutions using structured, unstructured, and real-time data sources.
- Apply statistical methods, experimental design, and model evaluation techniques to measure performance and business impact.
- Conduct exploratory data analysis to uncover patterns, trends, behavioral signals, and opportunities for automation or decision support.
- Create, transform, and select features that improve model performance and support production-ready solutions.
- Build and evaluate models such as regression, classification, clustering, sequential models, recommendation models, neural networks, and other relevant ML/deep learning approaches.
- Work with real-time or near-real-time data where applicable to support intelligent, responsive customer and agent experiences.
- Interpret model outcomes, identify key drivers, and clearly communicate insights, tradeoffs, and recommendations to technical and non-technical audiences.
- Partner with cross-functional teams including product managers, engineers, business analysts, and operations stakeholders to translate ambiguous needs into data-driven and AI-enabled solutions.
- Stay current with emerging AI/ML techniques and identify practical ways to apply them to customer care and business problems.
What You'll Need
- Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical field.
- 3+ years of experience as a Data Scientist, Machine Learning Scientist, Applied Scientist, AI/ML Engineer, or similar role.
- Strong programming skills in Python, with experience using data science and machine learning libraries.
- Experience developing and evaluating machine learning models, including supervised and unsupervised learning techniques.
- Practical knowledge of deep learning, neural networks, GenAI/LLM concepts, or AI system development.
- Experience working with SQL and relational databases.
- Strong analytical skills, including statistical modeling, hypothesis testing, experimental design, and model evaluation.
- Ability to work in ambiguity, rapidly test ideas, iterate based on feedback, and move from prototype to scalable solution.
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
Nice to Have
- Experience with sequential modeling, time-series modeling, real-time data, recommendation systems, NLP, or conversational AI.
- Experience building AI/ML prototypes, hackathon projects, open-source contributions, or applied AI side projects.
- Experience with cloud platforms such as AWS, Azure, GCP, or Snowflake.
- Familiarity with AWS technologies such as SageMaker, Glue, Athena, Redshift, or Bedrock.
- Familiarity with big data technologies such as Spark, Iceberg, or dbt.
- Experience with data visualization or rapid app-building tools such as Tableau, Streamlit, or text-to-SQL solutions.
- Knowledge of retail, e-commerce, customer care, or operations domains.
- Master's degree with specialization in AI/ML, Data Science, Computer Science, Statistics, or a related field.
The base salary range for this role is $109,500 - $190,000.00.
- 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 [email protected].
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Skills Required
- Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or related technical field
- 3+ years of experience as a Data Scientist, Machine Learning Scientist, Applied Scientist, or similar role
- Strong programming skills in Python, using data science and machine learning libraries
- Experience developing and evaluating machine learning models (supervised and unsupervised techniques)
- Practical knowledge of deep learning, neural networks, GenAI/LLM concepts, or AI system development
- Experience working with SQL and relational databases
- Strong analytical skills including statistical modeling, hypothesis testing, experimental design, and model evaluation
- Ability to work in ambiguity, rapidly test ideas, and move prototypes to scalable solutions
- Excellent communication and collaboration skills, able to explain complex technical concepts to diverse audiences
- Experience with sequential modeling, time-series, recommendation systems, NLP, conversational AI, or real-time data (nice to have)
- Experience with cloud platforms (AWS, Azure, GCP) or Snowflake
- Familiarity with AWS tools (SageMaker, Glue, Athena, Redshift, Bedrock)
- Familiarity with big data technologies (Spark, Iceberg, dbt)
- Experience with data visualization or rapid app-building tools (Tableau, Streamlit, text-to-SQL)
- Knowledge of retail, e-commerce, customer care, or operations domains
- Master's degree in AI/ML, Data Science, Computer Science, Statistics, or related field
What the Team is Saying
Chewy Compensation & Benefits Highlights
How does Chewy ensure its pay and bonus plans are competitive?
Chewy approaches compensation through a total rewards strategy that combines salary, bonuses, equity opportunities, healthcare benefits, employee discounts, and career growth opportunities. The company emphasizes supporting employees across ecommerce, healthcare, pharmacy, customer service, technology, and fulfillment operations while competing for talent in both retail and tech markets.
Competitive compensation and bonus opportunities: Chewy offers market-based compensation packages that may include salary, performance bonuses, commissions, and equity depending on role and level. Built In also notes benefits such as relocation assistance, employee discounts, and bonus opportunities across multiple teams and functions.
- Healthcare and wellness support: Benefits include medical, dental, vision, prescription coverage, HSA/FSA options, life insurance, disability coverage, telemedicine, mental health resources, and wellbeing programs. Chewy also offers wellness-focused resources designed to support employees physically, mentally, and financially.
- Retirement and financial wellbeing: Employees receive 401(k) plans with company matching along with financial wellness resources and broader support programs. Benefits are designed to support both short-term needs and long-term financial planning.
- Pet-focused and family-oriented benefits: Chewy offers pet insurance discounts, employee discounts on Chewy products, parental leave, fertility support, family-focused benefits, and caregiving resources. The company’s benefits package is closely aligned with its pet-focused identity and customer mission.
- Flexibility and workplace support: Corporate employees may have access to hybrid work arrangements, flexible scheduling, commuter benefits, PTO, paid holidays, and wellbeing initiatives. Employees also cite supportive managers and collaborative teams as important parts of the broader employee value proposition.
- Long-term career investment: Compensation is reinforced through career growth opportunities, mentorship, leadership development, cross-functional learning, and exposure to large-scale ecommerce, automation, healthcare, and logistics initiatives. Employees often describe growth opportunities as an important part of the overall company experience.
- External signals: Comparably reports that 70% of employee reviews are positive overall. Employees frequently highlight healthcare benefits, employee discounts, coworkers, and growth opportunities as strengths of the company experience. (Glassdoor; Comparably)
Chewy Insights
What We Do
Who We Are Chewy is where pet parents find everything they need for life with pets, from food to fun to pharmacy. We make pet care easier, more informed, and more joyful through fast, reliable delivery and award-winning 24/7 Customer Care, including access to pet health support when it’s needed. Founded in 2011, Chewy combines the convenience of online shopping with a high-touch, personalized experience built around the real moments of pet parenthood. Our Mission Chewy’s mission is to be the most trusted and convenient destination for pet parents and partners, everywhere. What We Do We support pet parents through the highs, lows, and everyday moments of the pet parenting journey with: • Pet food, treats, and daily essentials • Supplies for dogs, cats, fish, birds, reptiles, equine, and small pets • Pharmacy and veterinary services, including prescriptions and medications • Pet wellness and health products • Autoship for convenient recurring deliveries • Chewy+, our premium membership offering exclusive savings, faster delivery, and personalized pet care benefits • 24/7/365 customer support from knowledgeable, pet-loving experts What Makes Chewy Different Chewy is known for industry-leading service, deep personalization, and our customer-obsessed culture. We combine trust, convenience, and care, and pet parents come to us for: • Exceptional customer care • Human- and pet-centered product and experience design • Fast, dependable fulfillment across a nationwide operations network • A mission-driven culture built on empathy, trust, and passion for pets Our Culture Chewy’s culture is built for people who thrive on ownership, innovation, and impact. We value curiosity, creativity, and continuous improvement across all our teams. We empower Team Members—our Chewtopians—to learn, grow, and unleash their full potential in a collaborative, supportive, mission-driven environment. How We Work Chewy’s Operating Principles guide how we think, innovate, collaborate, and execute. These principles shape our character, decision-making, and approach to delivering results while connecting our people and culture in support of our mission. Where We Work Chewy headquarters: Plantation, FL, and Boston, MA Additional hubs: Bellevue, WA, and Minneapolis, MN
Why Work With Us
Why You Should Work at Chewy Chewy is a unique, fast-growing e-commerce and tech leader where builders, creators, and problem-solvers shape the future of pet care. Our teams drive innovation in a mission-driven culture that creates real impact for pets and the people who love them.
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Chewy Teams
Chewy Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
