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About the Role
Apply artificial intelligence and/or machine learning methods to design, test and scale effective, reliable frameworks, systems, and models to improve the usefulness of big data and predictive applications. Research, implement, and test machine learning algorithms and tools to solve data challenges and to improve quality and reliability of data. Develop machine learning applications according to requirements; design, code, test, deploy and iterate on machine learning systems. Research and remain current on machine learning and optimization techniques. Work with data scientists, application developers, product managers and software engineers to develop and support software for new machine learning products.
Responsibilities
- Apply artificial intelligence and/or machine learning methods to design, test and scale effective, reliable frameworks, systems, and models to improve the usefulness of big data and predictive applications.
- Research, implement, and test machine learning algorithms and tools to solve data challenges and to improve quality and reliability of data.
- Develop machine learning applications according to requirements; design, code, test, deploy and iterate on machine learning systems.
- Research and remain current on machine learning and optimization techniques.
- Work with data scientists, application developers, product managers and software engineers to develop and support software for new machine learning products.
Requirements
- Master’s degree in Data Analytics, Engineering, Operations Research, Statistics, Applied Mathematics, or related field, and 2 years of experience as a Data Scientist or related position/occupation.
- Ph.D. in Data Analytics, Engineering, Operations Research, Statistics, Applied Mathematics, or related field, and 1 year of experience as a Data Scientist or related position/occupation.
- Cloud-based data and analytics platforms, including Amazon Web Services tools such as SageMaker, Snowflake, or other similar platforms.
- PySpark, PyTorch, TensorFlow.
- Workflow orchestration tools such as Apache Airflow.
- Statistical analysis using R.
- Data visualization and reporting using Tableau and Power BI.
- CI/CD and deployment tools.
- Programming skills for data analysis.
- Working with structured datasets.
- Collaboration with cross-functional teams to translate business requirements into scalable, production-ready analytical solutions.
Skills
- Cloud-based data and analytics platforms
- Amazon Web Services tools such as SageMaker
- Snowflake
- PySpark
- PyTorch
- TensorFlow
- Apache Airflow
- Statistical analysis using R
- Data visualization and reporting using Tableau
- Data visualization and reporting using Power BI
- CI/CD and deployment tools
- Programming skills for data analysis
- Working with structured datasets
- Collaboration with cross-functional teams
Location
- Boston, MA
Work Type
- Full time
- Telecommuting permitted up to 2 days/week
Experience Level
- 2 years of experience as a Data Scientist or related position/occupation (with Master's degree)
- 1 year of experience as a Data Scientist or related position/occupation (with Ph.D.)
Education Level
- Master’s degree in Data Analytics, Engineering, Operations Research, Statistics, Applied Mathematics, or related field
- Ph.D. in Data Analytics, Engineering, Operations Research, Statistics, Applied Mathematics, or related field
Salary/Compensations
- $117,428 to $163,000 per year
Benefits
- 401k
- New hire and annual equity grant
- Annual bonus (for C08+ positions)
- 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 (10% off pet insurance, 20% off at Chewy.com)
- Unlimited PTO (subject to manager approval for exempt salary team members)
- Six paid holidays per year
- Paid sick and family leave (in compliance with applicable state and local regulations)
About the Company
- Employer: Chewy, Inc.
- Office Address: 343 Congress St., Floor 5, Boston, MA 02210
Equal Opportunity
- 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 California CPRA Job Applicant Privacy Policy, please click here.