Job Location: Indianapolis, IN
Job Detail:
Associate Data Scientist
Downton Indianapolis
Hybrid Schedule
As the Associate Data Scientist, you will work with partners and outside stakeholders to gather and analyze data regarding a variety of issues and topics to develop data driven solutions to difficult business challenges.
Qualifications:
- Bachelor’s degree in Data Science, Statistics, Math, Computer science, Informatics, Economics, or related fields
- 6 months – 1.5 years of educational, internship, or professional experience in statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.)
- Confidence in working with SQL and Python
- R, Machine learning, visualization and storytelling understanding
- Ability to research and document findings
- Mission driven personality with a desire to learn
Responsibilities: (On the job training provided)
- Mines and analyzes data from organization’s databases to drive optimization and improvement of program development, marketing techniques and business strategies
- Assesses the effectiveness and accuracy of new data sources and data gathering techniques
- Standardize operational procedures, reviewing code, analyzing, and interpreting datasets, and working with Git for version control
- R Shiny Dashboard (Maintenance / Debugging / Enhancements)
- Data management (IHIE CVR and ADT Claims)
- Data analysis (CMS metrics, Assist in analysis for evaluation, EDA)
- Create claims extract (Automate creation of extract for CMS submission)
- Performs exploratory data analysis to understand the organization’s data
- Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently
- Develops analytic and predictive models for business needs
- Coordinates with different functional teams to implement models and monitor outcomes
- Create meaningful visualizations that communicate information and answers
- Ensure deployments meet security standards
- Work with data engineers/architects to create data pipelines
- Work with data scientists to deploy solutions
- Maintain / debug CAE infrastructure
- Azure updates can break deployment
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