The company is looking to leverage data to drive business solutions and make data-driven decisions in the healthcare industry.
Requirements
- Intermediate level Python programming
- Machine Learning experience, including supervised machine learning (both classification and regression), unsupervised learning, deep learning, etc
- Experience with feature selection, feature engineering, dimensionality reduction, and cross-validation
- Ability to apply knowledge of data science and machine learning to implement and run machine learning workloads in cloud-based technology stacks, AWS preferred
- Ability to write and review complex queries in SQL
- Experience with wrangling and preparing large data sets
- Knowledge or experience with natural language generation and LLM models is a plus
Responsibilities
- Collaborate with product owners and senior engineers to identify opportunities for leveraging data to drive business solutions
- Contribute to design of analytics, including data sampling, data mining, data quality, and data visualization solutions
- Develop custom predictive models to increase client satisfaction and optimize reimbursement
- Provide technical leadership to the vision, design, and oversight of complex hardware and software solutions that apply machine learning and artificial intelligence to real word data
- Use analytical abilities and creativity in anticipating trends
- Evolving current data strategies, bringing fresh ideas to the table to continuously improve our direction and results
- Participate in daily scrums and technical reviews
Other
- 2+ years working in the field of Data Science or a similar engineering function
- Bachelor’s degree in computer or statistical field; Master’s degree also beneficial
- Intellectual curiosity and self-motivation are required
- Revenue Cycle, Healthcare, and/or Health Insurance industry experience is beneficial
- Experience communicating data insights with non-technical stakeholders
