GENERAL SUMMARY: The Data Scientist, Healthcare Analytics assists the Senior Data Scientist, Healthcare Analytics and other business analysts with working with business users to fully understand their needs for data science solutions. Works with a variety of data sources, both internal and external, big and small, structured and unstructured formats to build analytic models utilizing machine-learning techniques. Partners with the IT group to ensure that the data is sourced from the right location for data science model building. Participates in the development of project deliverables, especially documentation, for data science deliverables. As a team player, interacts with various other roles such as data engineers, business analysts and others. The Data Scientist, Healthcare Analytics solves analytical problems and develops cutting edge solutions to business problems. Should also be skilled at extracting, transforming, and analyzing data using a variety of common analytical tools and statistical techniques. Should be able to present findings in a compelling manner to both a business and non-technical audience. The position requires a team player that is eager to continue to learn and evolve with business needs and changes in the data and business environment.
EDUCATION/EXPERIENCE REQUIRED: - Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field. MS degree is preferred.
- Three plus (3+) years of professional work experience.
- Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry.
- Two plus (2+) years of experience with predictive, forecasting, and optimization problem solving using data analytics tools like Python, R or SAS.
- Exposure of working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred.
- Advanced SQL skills working with RDBMSs such as Oracle, SQL Server, etc.
- Experience working with data visualization tools or Data Visualization Designers in Tableau or Power BI.
- Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask, D3, etc. used to tell the data story to business users to foster adoption of analytic outputs created preferred.
- Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive modelling.
- Strong communication and presentation skills. Effective communication and storytelling skills.
- Energy and enthusiasm. Passion for learning and contributing to development. A true team player. Collaborative mindset for effective communication across teams.
