Optum HouseCalls is looking for a Sr Data Scientist who will be working with big data across multiple healthcare platforms. This role will be responsible for modeling complex business problems, uncovering data anomalies, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. This individual will need to have a natural desire to go beneath the surface of a problem to ask the right (business) questions, and produce answers in support by digging into large data sources and applying statistical rigor. The ideal candidate will have a knack for thinking "Big Picture" as well as enjoy digging into the details, applying 3 key elements to challenging healthcare problems: Analytical Rigor, Creativity and Business Focus.
Analyze complex member data (e.g. relational databases, star schema's, etc) and turn into actionable insights in support of the long and short term goals of the company
Responsible for integrating and preparing large, varied datasets, both internal member behaviors as well as exogenous data sources, to get a holistic understanding of member preferences and behaviors
Build predictive and analytical models by using techniques such as logistic regression, OLS regression, k-means segmentation, PCA, decision trees
Produce meaningful recommendations for influencing member engagement and outreach strategies by using data mining, statistical analysis and predictive modeling
Dig beneath the surface of a problem to ascertain the "Why" in the backend data, uncover the true reasons data patterns and skews may be showing up, and convert those findings into clearly understandable, data-backed recommendations, to influence future member engagement strategies
Responsible for uncovering data anomalies, discovering business insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques
Distil patterns in data, many times dirty data that doesn't make sense. Ability to spot dirty data and think out of the box about how to accommodate in order to produce trustworthy results given these constraints
Develop presentations around insights and tell compelling stories with the data, and deliver to constituents at all levels: strategic, tactical, operational, and across functions: marketing, operations, finance, etc.
Communicate and present findings, orally and visually in a way that can be easily understood by business counterparts
Highly motivated and independent self-starter
Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science or Actuarial Science
3+ years of experience in advanced SQL working with relational data in large enterprise environments with large datasets (e.g. 1+billion records)
3+ years of experience with data extraction/manipulation/transformation in environments such as SQL server, Netezza, Teradata, or Oracle
3+ years of experience working with statistics to perform analyses, data modeling and predictive behavioral modeling is required
3+ years of experience in one of the following languages: R, Python, SAS
3+ years of experience developing compelling presentations around insights to be delivered to leaders across the organization and external customers
3+ years of experience combining numerous exogenous data sources (e.g. demographics/psychographics/SDoH) with consumer transactional and behavioral attributes to support advanced modeling efforts
3+ years of statistical modeling experience using analytical algorithms such as Logistic Regression, OLS regression, etc.
Excellent written and communication skills
Master's degree in a quantitative/business field
Highly evolved problem-solving skills and adept at understanding and resolving unstructured problems
Experience with Microsoft Azure or Amazon AWS
Experience with experimental design (design of experiments)
Knowledge of healthcare administrative data (medical claims, enrollment, provider data)
Experience with applications such as Jupyter Notebooks, Spark
Strong knowledge of extracting and developing key consumer insights within a population, distilling insights, and presenting to business leadership
Experience with text mining/text analytics
UnitedHealth Group is working to create the health care system of tomorrow. Already Fortune 6, we are totally focused on innovation and change. We work a little harder. We aim a little higher. We expect more from ourselves and each other. And at the end of the day, we're doing a lot of good.Through our family of businesses and a lot of inspired individuals, we're building a high-performance health care system that works better for more people in more ways than ever. Now we're looking to reinforce our team with people who are decisive, brilliant - and built for speed.Come to UnitedHealth Group, and share your ideas and your passion for doing more. We have roles that will fit your skills and knowledge. We have diverse opportunities that will fit your dreams.
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Job Title: Sr. Data Scientist - Telecommute
Shift: Day Job
Business: Optum Housecalls
Telecommuter Position: No
Job Level: Individual Contributor
Overtime Status: Exempt
Posted Date: 8/8/2018
City: Eden Prairie
Country: United States
Department: Optum HouseCalls Admin Ops