Data Scientist
Role details
Job location
Tech stack
Job description
Primary Purpose of this Role: To develop and manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage., * Execute data science projects as identified by Sr Data Scientists, leadership, and stakeholders
- Help to build, prototype, and deploy machine learning models in sandbox and production environments
- Produce reports to communicate metrics and outcomes of stakeholder interest
- Assist with developing and maintaining end-to-end ETL data pipelines
- Work to explore new internal data sources and their utility within projects
- Communicate modeling challenges, findings, and outcomes to stakeholders
Requirements
- Insurance claims knowledge required
- Minimum one year of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering
- Experience writing Python or R code, and notebook environments
- Knowledge of writing code in Python or R, and notebook environments
- Knowledge of common unsupervised/supervised ML techniques
Benefits & conditions
Taking Care of You
- Career development and promotional growth opportunities
- A diverse and comprehensive benefits offering including medical, dental vision, 401k, PTO and more
The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.