Senior Data Scientist (South Boston) Job at Chewy, South Boston, MA

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  • Chewy
  • South Boston, MA

Job Description

Overview Our Opportunity: Do you want to build AI solutions that directly impact the companys bottom line? Do you want to see how your models, pipelines, and prototypes shape decision-making at the highest level? If so, the Chewy Marketing Science team is hiring! We use advanced AI, machine learning, statistics to understand and serve the needs of our pet parents. As part of the Marketing Science team, you will solve a wide range of business problems for marketing and Chewy customersspanning predictive modeling, causal inference, and next-generation AI applications. Our team has single-threaded ownership of building data science and AI products powered by ML/Stats models, agentic AI workflows. Develop GenAI and agentic AI prototypes, seek innovation opportunities, and collaborate with marketing for tool integration. We are hiring a Data Scientist III in Boston, MA and Bellevue, WA. You will work across the lifecycle of model developmentideation, analysis, architecture, prototyping, tuning, experimentation, and production deploymentwhile collaborating with MLEs and fellow data scientists to advance our technical capabilities. Join our high-achieving team and help shape the future of AI innovation at Chewy! What Youll Do Lead end-to-end data science projectsfrom idea generation and offline evaluation to deployment, experimentation, feedback loops, and continuous model improvement. Formalize assumptions about model behavior, define and detect outliers systematically, and implement fixes or improvements where needed. Partner with marketing Team Members to identify, scope, and prioritize AI opportunities that create measurable business impact. Rapidly prototype and test GenAI and agentic AI solutions to address high-impact marketing challenges. Build internal AI copilots and assistants that enhance productivity, automate repetitive workflows, and accelerate campaign execution. Stay ahead of industry and technology trends to anticipate emerging opportunities in AI and e-commerce. Communicate insights and recommendations clearlyboth verbally and in writingto audiences with varying technical expertise. Collaborate with a team of passionate data scientists and machine learning engineers working across AI, search, and personalization. What Youll Need Advanced degree (M.S., Ph.D., or equivalent experience) in Data Science, Statistics, Applied Mathematics, Computer Science, Physics, or a related field, or 4 years of experience designing optimization and machine learning solutions at scale. Strong foundation in machine learning and statistical methods, including Bayesian inference, regression, classification, forecasting, time series, causal inference, and machine learning techniques such as tree-based models (e.g., XGBoost, Random Forests), neural networks, and clustering methods. Ability to understand and apply advanced mathematics and data science methodologies to solve complex business problems. Hands-on expertise with LLMs and Generative AI frameworks (e.g., LangChain, Hugging Face, OpenAI, Anthropic, vector databases). Experience in rapid prototyping and experimentation, including prompt engineering, few-shot techniques, and fine-tuning LLMs for domain-specific tasks. Proficiency in Python (and ideally SQL/ML pipelines) for building proof-of-concepts and deploying production-ready solutions. Strong ability to translate business needs into AI opportunities, with knowledge of marketing workflows, customer data, and campaign lifecycles. Passion for emerging AI trends and the initiative to proactively surface and test new applications. Ability to thrive in ambiguous, fast-paced environments, structuring open-ended problems into actionable solutions. Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Bonus (if applicable) Experience with at least one cloud services provider(AWS, GCP, Azure, etc.). Experience with ML platforms and frameworks, e.g., Databricks. Familiarity with reinforcement learning techniques 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. To access Chewy's Customer Privacy Policy, please visit Chewy's website. To access Chewy's California CPRA Job Applicant Privacy Policy, please visit Chewy's website. J-18808-Ljbffraa415a4b-8b21-40fc-a65c-70d2b25ca29a

Job Tags

Part time,

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