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# AD, Data Science

- **Company:** Chewy, Inc.
- **Location:** Bellevue, WA, United States (Remote available)
- **Salary:** $189,684.0 - $296,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Computer Vision, Cloud Computing, Information Systems, Data Integrity, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Generative AI, Information Technology
- **Published:** May 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fb896973514a4fd7

## About the Role

Do you have experience in Python?, Do you have a Master's degree?, * Minimum Requirements: Master's degree in Data Science, Math, Statistics, Computer Science, or related field and 4 years of experience as a Computer and Information Systems Managers or a related position/occupation.

 * Alternate Education and Experience: Ph.D. degree in Data Science, Math, Statistics, Computer Science, or related field and 2 years of experience as a Computer and Information Systems Managers or a related position/occupation.
 * Full term of experience must include:
 + Apply advanced mathematics and data science methodologies;
 + Standard machine learning and statistical techniques including predictive models (time series, regression, etc.), classification, forecasting; and
 + Programming in Python and ML frameworks.
 * Experience must also include:
 + Developing and deploying advanced machine learning models and algorithms in a production environment.

## Description

* Combine deep understanding of machine learning, advanced data analysis, statistical testing, and the ability to communicate insights effectively to both technical and non-technical stakeholders.
 * Operate as a full stack data scientist utilizing expertise in both machine learning and cloud technologies, while also growing and leading a team.
 * Lead data science projects through development lifecycle including offline evaluation, deployment, experimentation, feedback, and model improvements.
 * Formalize procedures 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.
 * Design, develop, and implement machine learning models for various applications, including but not limited to predictive analytics, natural language processing, generative AI, and computer vision for different retail applications.
 * Research and implement state-of-the-art machine learning algorithms to address specific business challenges.
 * Analyze large, complex data sets to extract actionable insights and identify trends, patterns, and opportunities.
 * Handle data collection, cleansing, and validation processes to ensure data integrity and reliability.
 * Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements and deliver effective solutions.
 * Document code, algorithms, and processes to facilitate knowledge sharing and ensure reproducibility.
 * Provide technical guidance in best practices for model development to the data science team.


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