Lead Data Scientist - Marketing
Lead Data Scientist - Marketing
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1 Vacancy
Job Description
Our Opportunity:
Do you want to build a model that impacts the companys bottom line Do you want to see how your ideas pipelines architecture and experiments affect toplevel decisionmakers If so the Chewy Marketing & Science team is hiring! The team uses AI machine learning statistics and business econometrics techniques to understand and serve the needs of our pet parents. As part of the Marketing Science teams you will have ample opportunities to solve numerous business problems for marketing and existing Chewy customers. Our team has singlethreaded ownership to make data science and AI products powered by ML models Generative AI econometric models causal inference forecasting and nonlinear optimization. We are hiring aStaff Data Scientistin Bellevue WA Boston MA Minneapolis MN or Plantation FL. In this position you will work on all stages of model development from idea analysis architecture pipeline tuning experimentation and feedback loop. This teams MLEs and data scientists focus on learning and working together to deploy the model to production and advance our modeling technique. Join our highachieving team!
What Youll Do:
- You will partner with peer MLEs Program Managers Marketers Finance and top engineers at Chewy.
- You will be responsible for science projects from idea to offline evaluation to deployment to experiment to feedback to model improvements for not only your science projects.
- Formalizing assumptions about how models are expected to behave creating definitions of outliers developing methods to identify them systematically and explaining why they are reasonable or identifying fixes.
- Developing generative AI solutions for various marketing applications.
- Communicating verbally and in writing to business customers with various levels of technical knowledge educating them about our research and sharing insights and recommendations.
- Work with a team of incredible people passionate about data science machine learning AI search & personalization.
What Youll Need:
- An advanced degree (M.S. PhD or equivalent experience) in Data Science Statistics Applied Mathematics Physics Operations Research or a related field or 5 years experience designing optimization and machine learning solutions for largescale applications.
- Ability to understand and apply advanced mathematics and DS methodologies.
- Experience in building distributed pipelines tuning optimizing and evaluating.
- Experience with standard ML and statistical techniques including Predictive Models (Time Series Regression etc. Classification Forecasting etc.
- Experience with modern LLM frameworks (e.g. LangChain LlamaIndex) and LLM architectures and techniques (e.g. RAG agents texttoSQL)
- Strong programming skills in Python and experience with ML frameworks
- Ability to thrive in ambiguous situations and transform openended problems into structured solutions
- Excellence in communicating technical concepts to nontechnical partners
Bonus (if applicable):
- Experience with causal inference. If not well teach you.
- Experience with at least one cloud services provider(AWS GCP Azure etc..
- Experience with ML framework e.g. Databricks
Employment Type
Full Time
