Grace Hopper 2023: Data Scientist

Key Skills

Docker, JavaScript, Python Programming, PyTorch, Scala Programming, Spark Core, SQL, TensorFlow

Job Description

As part of the data science team at Chewy, you will have the opportunity to provide structure to business problems for new and existing Chewy customers by applying data science principles to design, test, implement, and develop data-based solutions, including reporting, auditing, and preparing large databases for statistical analysis. 

What You’ll Do

• Apply science 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 algorithms and tools to solve data challenges and to improve quality and reliability of data
• Develop applications according to requirements; design, code, test, deploy and iterate on existing systems
• Research and remain current on optimization techniques
• Effectively resolve problems and roadblocks as they occur
• Work with data scientists, application developers, product managers and software engineers to develop and support software for new and existing products

What You’ll Need

• Hands-on experience in developing and deploying optimization and predictive models
• BS or MS (preferred) degree in Industrial Engineering, Operations Research, Statistics, Applied Mathematics, or equivalent quantitative fields such as Engineering, Computer Science with a background in both time series and machine learning
• Excellent verbal and written communication skills and the ability to explain details of complex concepts to non-expert stakeholders in a simple and understandable way

Bonus

• Experience with Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms
• Experience of translating ambiguous customer requirements into clear problem definitions and delivering them
• Experience in Python, R, PySpark, Spark, Scala, Java, PyTorch, TensorFlow, Docker
• Should have familiarity with SQL (Intermediate level)
• Should be good at data visualization, data manipulation

Compensation & Benefits:

Our salary range for a Data Scientist position is $100,000.00 - $159,000.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant.

We offer different types of insurance, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.

Non-exempt hourly team members accrue paid time off (PTO) while salaried-exempt team members have unlimited PTO, subject to manager approval. Non-exempt hourly team members in Fulfillment Centers and Customer Service are also eligible for additional unplanned unpaid time off (UTO). Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.