Data Scientist/Machine Learning Engineering Lead

  • location: Eden Prairie, MN
  • type: Contract
  • salary: $75 - $93.75 per hour

job description

Data Scientist/Machine Learning Engineering Lead

job summary:
Candidate will be working with other Data Scientists and Engineering teams to build deep learning models in support of commercial products


Master's / PHD degree in Math, Applied Math, Statistics, Computer Science, Physics, or related field

- 2+ years of experience in data science

- 2+ years hands on model building using Python and scripting languages

- Hands-on experience using structured and unstructured data

- Passion for problem solving and decision making using data and analytics

- Deep understanding of statistics and statistical best practices

- Passion for continuous learning and actively following modern research

- Appetite for risk taking, openness to influence with energy to deliver

- Experience with modern engineering best practices with CI/CD/CT/CM tools; e.g. Jenkins..

- Experience with streaming tech; e.g. Kafka, Spark, etc...

Nice to have:

- Experience with claims data

- Experience with Tensorflow , Keras, Jupyter Notebook

- Experience with Azure

location: Eden Prairie, Minnesota
job type: Contract
salary: $75.00 - 93.75 per hour
work hours: 9am to 5pm
education: No Degree Required
- Lead the implementation of research investigations and construction of machine learning models to solve business problems in the health care industry

- Verify model effectiveness

- Collaborate within cross-disciplinary teams including business-facing leaders to understand business problems

- Translate business questions or product requirements into actionable work

- Work effectively as both an individual contributor while also mentoring and leading less experienced machine learning engineers

The essential functions of this role include:

  • working in a smoke free environment
  • Experience level: Experienced
  • Minimum 2 years of experience
  • Education: No Degree Required
  • Python
  • Kafka
  • Spark
  • Azure
  • Jupyter Notebook
  • Tensorflow
  • Keras

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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