Sr. Data Scientist – Telecommute

Key Skills

Java Programming, Python Programming, SQL, Git, Tableau, TensorFlow, Apache Hive, MapReduce, Apache Pig, R Programming, SPARK Programming, H2O

Job Description

Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that is improving the lives of millions. Here, innovation is not about another gadget; it is about making health care data available wherever and whenever people need it, safely and reliably. There is no room for error. If you are looking for a better place to use your passion and your desire to drive change, this is the place to be. It's an opportunity to do your life's best work.(sm)

The Commercial data Science team within Optum Insight (OI) Payer Analytics is expanding. We are looking for experienced Data Scientists to join this growing team. This individual will be responsible on the development and delivery of large and complex predictive modeling projects for healthcare Payment Integrity processes. Senior Data Scientist-Post Pay develops innovative and effective approaches to solve client's analytics problems and communicates results and methodologies. Sr. Data Scientist also provides directions and guidelines to Data Scientists to discover business insights, identifies opportunities, and provides solutions and recommendations to solve business problems through the use of statistical, algorithmic, data mining, and visualization techniques. In addition to advanced analytic skills, Sr. Data Scientist is also proficient at integrating and preparing large, varied datasets, architecting specialized database, and computing environments, and communicating results. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple predictive detection engines in Optum Insight payer analytics
• Lead discovery processes with Data Scientists and partner with Payment Integrity Operation management to identify the business requirements and the expected outcome 
• Create and provide sound statistical analyses and frame business scenarios that are meaningful and which impact on critical business processes and/or decisions
• Collaborates with the data steward to gather information to be used for analytics and predictive model building purpose and to ensure the data meets the qualification and assurance requirements of the analyses
• Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, etc., identify appropriate analytic and statistical methodology, develop predictive models and document process and results
• Communicate analytics results and predictive models to business partners and clients
• Provide on-going tracking and monitoring of performance of statistical models and recommend ongoing improvements to methods and algorithms that lead to findings, including new information
• Recommends ongoing improvements to methods and algorithms that lead to findings, including new information

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• Master’s or PhD degree 
• 5+ years of experience using data modeling skills
• 5+ years of experience manipulating large datasets
• 3+ years of experience in data analysis
• 3+ years of experience in predictive analytics with machine learning/statistical modeling techniques
• 2+ years of experience in SQL
• 2+ years of experience programming in R or Python
• Experience working with analytical concepts and how analytical solutions can help customers
• Experience in quickly understanding new concepts to come out with original solutions to mathematical issues

Preferred Qualifcations:

• Experience with health care claims data
• Experience with TensorFlow H2O, or similar tools
• Experience helping customers in reducing their healthcare claim costs
• Experience with Hadoop (MapReduce, PIG, Hive, Spark) or similar tools
• Experience with Version Control (for example Git Version Control system) 
• Experience in UI design for automated or end-user-interactive visualizations, displays or reports based on the models’ outcomes (Ex: Tableau)
• Understanding of medical coding, such as ICD, CPT, or DRG