Back to Search
Georgia
We are seeking a talented Lead Data Scientist to join our remote team. The successful candidate will be responsible for leading the team, developing and implementing machine learning models, and working with our data scientists and software engineers to create predictive models that can be used by healthcare providers and consumers. You will be expected to develop and refine algorithms to identify healthcare trends and predict healthcare costs, as well as developing personalization and recommendation models, analyzing product performance, and customer insights.
Responsibilities
- Lead the team of data scientists
- Develop and implement machine learning models
- Work with data scientists and software engineers to create predictive models for healthcare providers and consumers
- Develop and refine algorithms to identify healthcare trends and predict healthcare costs
- Develop personalization and recommendation models, analyze product performance and customer insights
- Work with MDM and perform other data alignment and compatibility tasks to drive product recommendations within tightly constrained requirements
- Price comparison and price recommendations
- Demand forecasting/supply shortage
- Customer segmentation/analytical atop of web analytics data
Requirements
- 5+ years experience in Data Science
- Extensive experience in Amazon Redshift, Amazon Web Services
- Proficiency in Data Mining, Machine Learning Model Development, PostgreSQL, and Predictive Analysis
- Strong knowledge of statistical analysis and modeling
- Ability to lead and manage a team of data scientists
- Ability to work independently in a remote environment
- Excellent written and verbal communication skills in English (Upper-Intermediate level)
Nice to have
- Experience with Amazon EMR and Apache Spark
- Experience with recommendation systems
- Knowledge of Python
Benefits
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn