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Senior Data Scientist - Machine Learning - Minnetonka MN

Company name
UnitedHealth Group

Hopkins, MN

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Position Description We are seeking experienced data scientists to drive new insights and lead research efforts to develop innovative assets for the healthcare delivery system. You will work closely with our expert domain scientists and business leaders to identify appropriate research questions and translate them into actionable analyses and algorithms. You will apply advanced statistical and machine learning methodologies in support of novel products for the healthcare system. This position offers the opportunity to mentor and lead junior researchers and data scientists. Primary Responsibilities: Lead the implementation of research investigations and construction of data products employing statistical and/or machine learning approaches Translate research questions or product requirements into actionable work Collaborate within cross-disciplinary research teams including business-facing leaders and expert domain scientists Provide recommendations and guidance to project leads based on insights gleaned from data Communicate effectively and clearly to a range of audiences, from domain scientists to business professionals Work effectively as both an individual analytic contributor while also mentoring and leading less experienced data scientists Analytical, articulate, inquisitive, and insightfulA passion for problem solving using data and analytics Required Qualifications: Master’s / PHD degree in Math, Applied Math, Statistics, Computer Science, Physics, or related field 3 years of experience in data science position(s) Experience with inferential statistics and predictive modeling Experience applying a broad range of statistical, mathematical, or computational approaches using data to solve problems Proficiency in model-building language such as R or Python Experience leading data science efforts and working with non-technical leaders Experience mentoring and leading junior data scientists Experience translating research questions or business requirements into actionable work Working knowledge of relational databases and database structures Experience applying machine learning algorithms to build predictive modelPreferred Qualifications: Experience working in the healthcare industry Experience in NLP or neural networks Experience informing experimental design using historical data Careers at UnitedHealth Group. We have modest goals: Improve the lives of others. Change the landscape of health care forever. Leave the world a better place than we found it. Such aspirations tend to attract a certain type of person. Crazy talented. Compassionate. Driven. To these select few, we offer the global reach, resources and can-do culture of a Fortune 6 company. We provide an environment where you're empowered to be your best. We encourage you to take risks. And we offer a world of rewards and benefits for performance. We believe the most important is the opportunity to do your life's best work.(sm) 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: Senior Data Scientist, Machine Learning, Minnetonka, MN, Minnesota

Company info

UnitedHealth Group
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Company Profile
About UnitedHealth Group UnitedHealth Group is the most diversified health care company in the United States and a leader worldwide in helping people live healthier lives and helping to make the health system work better for everyone. We are committed to introducing innovative approaches, products and services that can improve personal health and promote healthier populations in local communities. Our core capabilities in clinical care resources, information and technology uniquely enable us to meet the evolving needs of a changing health care environment as millions more Americans enter a structured system of health benefits and we help build a stronger, higher quality health system that is sustainable for the long term

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