Data Scientist – US Telecommute

UnitedHealth Group
Published
November 13, 2020
Location
San Antonio, TX
Category
Job Type

Description

UnitedHealthcare is a company that's on the rise. We're expanding in multiple directions, across borders and, most of all, in the way we think. Here, innovation isn't about another gadget, it's about transforming the health care industry. Ready to make a difference? Make yourself at home with us and start doing your life's best work.(sm)

UnitedHealth Care Research and Analytics is currently seeking a Data Scientist to join our dynamic team. In this role you will help reach our goals of seamless proactive complex member service and healthcare using analytics and machine learning. You should be an exceptional disciplined and self-motivated Data Scientist with Machine Learning and Predictive Modeling experience and a passion for working with healthcare data, hands-on skills using various big-data and ML platform tools, and proven experience delivering business impact on a portfolio of projects. This role will also require experience with business intelligence and visualization, analytics business development, formal requirements gathering, and delivery of analytic solutions to business leaders.

You will be working with data scientists, data engineers, and business analysts, and business insights experts detect vulnerable patients and provide first-in-class healthcare solutions. You will also design robust program evaluation approaches and measure the impact of healthcare programs and services. Will be expected to work with other team members as a collaborative unit to solve big business problems. Additionally, innovation is a key to our business and solving these problems. Regardless of role, everyone contributes to understanding and innovating together.
You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:
  • Work alongside other data scientists, engineers, and project managers to design and implement, improve, and extend analytics methods in our solutions end-to-end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation
  • Conduct hands-on data analysis and predictive analytics on large datasets and effectively communicate those complex technical results to business partners
  • Work with a great deal of autonomy to support and drive analytic efforts around machine learning and innovation aimed at finding solutions to complex health problems, member experience improvement possibilities, and healthcare affordability plays
  • Work with our business intelligence and healthcare economics partners to fairly evaluate program progress, success and opportunities for improvement using pragmatic controlled trials and other standard experimental program evaluation methods to measure business progress
  • Independently curate data needed for analyses through disparate data sources in a big data environment (BDPaaS on Hadoop) and enterprise data sources
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:
  • Undergraduate degree in applicable area of expertise or 5+ years of hands-on experience in data analysis and predictive analytics with machine learning/statistical modeling techniques
  • 2+ years of experience with data science languages such as Python, R, AI and SQL
  • Experience applying computational algorithms and statistical methods to structured and unstructured data and measuring solution performance (e.g., F1, AUC, sensitivity, specificity) in an iterative development process
  • Experience combining analytic methods with advanced data visualizations using, for example, Tableau, PowerBI, Shiny, or D3
  • Experience communicating highly technical results to a diverse audience of stakeholder from laymen to C-level executives
  • Experience in program evaluation and common scientific methods to ascertain impact of solutions
  • Experience with the product development and lifecycle, preferably in a technical domains (software, hardware, analytics)
  • 1+ years of experience delivering and translating business needs into data science requirements/work, explaining data science concepts and results to colleagues and leaders
  • 1+ years of experience with the landscape of data science methods, including data collection, data cleaning & validation, data storage & security, data processing, communication, and iteration
  • 1+ years of experience independently building event-based data systems and wrangling large and custom datasets with big data tools such as Hadoop, Hive, and Spark
  • Superior critical thinking skills and a desire to address difficult and complex problems using data
  • Polished professional verbal and written communication skills adaptable to a wide variety of audiences (laymen to C-level executives) through a variety of formats (readouts, conferences, lectures, informal discussions, formal presentation, whitepapers, peer-reviewed manuscripts)
  • If you need to enter a work site for any reason, you will be required to screen for symptoms using the ProtectWell mobile If you need to enter a work site for any reason, you will be required to screen for symptoms using the ProtectWell mobile app, Interactive Voice Response (i.e., entering your symptoms via phone system) or similar UnitedHealth Group-approved symptom screener. When in a UnitedHealth Group building, employees are required to wear a mask in common areas. In addition, employees must comply with any state and local masking orders
Preferred Qualifications:
  • Master's degree in relevant technical discipline such as Computer Science, Psychology, Computer/Electrical Engineering, Mathematics, or related field
  • Project Management Certification (e.g, PMP, Six Sigma)
  • Agile Certification (OSAM or Others)
  • History of mentoring data scientists and working in a cross-functional matrix environment
  • Demonstrated experience of creating assessment tools
  • Application development skills (UI, .net, etc)
  • Basic knowledge of machine learning and data processing services from cloud providers such as Amazon Web Services, Google Cloud, and Microsoft Azure
  • Experience conducting experiments (primary research, A/B testing, design of experiments, etc) including preparing necessary regulatory documents (Institutional review board, patent application, legal disclosure, etc)
Careers with UnitedHealthcare. Let's talk about opportunity. Start with a Fortune 7 organization that's serving more than 85 million people already and building the industry's singular reputation for bold ideas and impeccable execution. Now, add your energy, your passion for excellence, your near-obsession with driving change for the better. Get the picture? UnitedHealthcare is serving employers and individuals, states and communities, military families and veterans where ever they're found across the globe. We bring them the resources of an industry leader and a commitment to improve their lives that's second to none. This is no small opportunity. It's where you can do your life's best work.(sm)

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

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 Keywords: Data Scientist, Data Analysis, Predictive Analysis, Machine Learning, Statistical Modeling, Python, R. AI, SQL, F1, AUC, Tableau, PowerBI, Shiny, D3, Data Storage, Computational Algorithms, Statistical Methods, Product Development, Product Lifecycle, Data Science, Big Data, Hadoop, Hive, Spark, Minneapolis, MN, Minnesota, United States, Work At Home, Remote, Work From Home, Telecommute, Telecommuter, Telecommuting, UHG, UnitedHealth Group, UHC, UnitedHealthcare

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