Data Scientist I
About The Position
This role involves applying 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. The Data Scientist I will research, implement, and test machine learning algorithms and tools to solve data challenges and improve data quality and reliability. They will develop machine learning applications according to requirements, including designing, coding, testing, deploying, and iterating on machine learning systems. The position also requires researching and staying current on machine learning and optimization techniques, and collaborating with data scientists, application developers, product managers, and software engineers to develop and support software for new machine learning products. Telecommuting is permitted up to 2 days per week.
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.
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.
Benefits
- 401k
- 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 for exempt salary team members)
- six paid holidays per year
- paid sick and family leave (in compliance with applicable state and local regulations)
- new hire equity grant
- annual equity grant
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
