job summary:
Candidate will be working with other Data Scientists and Engineering teams to build deep learning models in support of commercial products
Required: 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
responsibilities:
- 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
qualifications:
- Experience level: Experienced
- Minimum 2 years of experience
- Education: No Degree Required
skills:
- 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.