At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a higher level through a deeper understanding of their bodies and daily lives.
RESPONSIBILITIES:
- Build and design tools and infrastructure to support Data Scientists at Whoop as they develop, deploy, and monitor machine learning models. Duties include:
- Develop and maintain Whoop’s full stack internal toolset including VueJS, Java, Postgres.
- Work closely with Data Science team members to support model development, training,
- and monitoring.
- Contribute to new software feature ideation, planning, and development.
- Consistently deliver features and PRs with an iterative approach.
- Follow and introduce best practices around software testing, observability, and monitoring.
- Perform troubleshooting with logging and monitoring tools such as DataDog, Sentry, and Kibana.
QUALIFICATIONS:
- Master’s Degree in Computer Science, Data Science, or closely related field, plus 2 years’ experience developing and delivering machine learning models into production, or in the alternative, a Bachelor’s Degree in Computer Science, Data Science or closely related field, plus 5 years’ experience developing and delivering machine learning models into production.
- Experience, which may have been gained concurrently with primary requirement above, must
- include 2 years of experience with:
- Front end development in a modern framework including/ similar to Vue or React,
- API design and development with languages that include Java, C++, Rust, or Python.
- Using SQL for relational database design and development.
- Troubleshooting utilizing AWS Cloudwatch, DataDog, Sentry or Kibana.
- Utilizing Cloud computing platforms including AWS, Azure, or GCP.
- Working with data science scripting language of Python or R.
This is a hybrid position working 3 days/week from the company office in Boston, MA and 2 days/week working from home.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.
