Data Scientist III
About The Position
Develop machine learning infrastructure and data pipelines that improve data quality. Use machine learning frameworks in both development, testing, and production environments to create and deploy new technologies. Identify opportunities for data science to improve current products and practices for business engineering teams. Create machine learning algorithms to optimize and deliver results by reducing computational complexity, increasing the accuracy of models, and improving business metrics. Perform data ET, statistical and analytical analyses, and communicate insights and recommendations to Chewy management to make informed decisions. Devise models and algorithms and guide engineering to develop scalable solutions that can work in real-time with large amounts of data. Establish collaborative working relationships at all levels across various functional teams.
Requirements
- Master’s degree in Statistics, Data Science, Analytics, or related field and 4 years of experience as a Data Scientists or related position/occupation.
- Ph.D. degree in Statistics, Data Science, Analytics, or related field and 2 years of experience as a Data Scientists or related position/occupation.
- At least one data science subject area (e.g., casual inference, LLM’s, forecasting, etc.)
- Managing the entire data science lifecycle including data prep, exploratory data analysis, modeling, interface with cross functional stakeholders (such as engineering, business, etc.), deploying models to production
- Amazon Web Services tools such as Snowflake
- R, PySpark, Spark, Keras, TensorFlow, Docker, Git version control
- Object-oriented programming with Python
- Data visualization tools and packages (Tableau or similar)
- E-com, retail or start up experience
Responsibilities
- Develop machine learning infrastructure and data pipelines that improve data quality.
- Use machine learning frameworks in both development, testing, and production environments to create and deploy new technologies.
- Identify opportunities for data science to improve current products and practices for business engineering teams.
- Create machine learning algorithms to optimize and deliver results by reducing computational complexity, increasing the accuracy of models, and improving business metrics.
- Perform data ET, statistical and analytical analyses, and communicate insights and recommendations to Chewy management to make informed decisions.
- Devise models and algorithms and guide engineering to develop scalable solutions that can work in real-time with large amounts of data.
- Establish collaborative working relationships at all levels across various functional teams.
Benefits
- 401k
- new hire and annual equity grant
- annual bonus
- medical/Rx insurance
- vision insurance
- dental insurance
- life insurance
- disability insurance
- hospital indemnity insurance
- critical illness insurance
- accident insurance
- parental leave
- family services benefits
- backup dependent care
- flexible spending accounts
- telemedicine
- pet adoption reimbursement
- employee assistance program
- discounts including 10% off pet insurance and 20% off at Chewy.com
- unlimited PTO (subject to manager approval)
- six paid holidays per year
- paid sick and family leave in compliance with applicable state and local regulations
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
