Senior Data Scientist - Risk Adjustment - Dublin, Ireland
December 29, 2017
We're changing the way health care works for the better. That means consulting with our members, partnering with our physicians, and delivering drugs in the most efficient and effective way. Join us and start doing your life's best work.(sm) We are looking for Data Scientists to join our Risk Adjustment Function in the Dublin Hub to help drive value and efficiencies from one of the world's richest healthcare datasets. This role reports to the Senior Director of Analytics. The opportunity is to be part of a newly formed analytics team that is seeking to unlock untapped RAF opportunities and drive more value and insights from the data. You will build predictive models to map relationships between millions of individuals and entities and apply machine learning to mixed data sources. You will have access to modern analytics infrastructure and technologies and the support of established data engineering and production development teams to see your models realized on a regular basis. Primary Responsibilities: Pattern classification and disease prediction using machine learning methods Research, develop and apply new innovative methods and technologies from other domains to healthcare data Be a thought - leader and expounder of data science methods and applications Work with autonomy to find solutions to complex problems Leverage technical analytical expertise across the enterprise to architect, deploy and oversee analytics and technology solutions Lead an elite team of engineers, data scientists and experts Serve as the subject matter expert on risk adjustment models across lines of business Develop and implement new products and solutions that transform the industry Communicate insights to a variety of audiences from machine-learning experts to business partners
Required Qualifications: Experience in analytics / data science in a business or academic context Bachelor's degree in a technical field (e.g. computer science, science, engineering, math / stats, etc.) Experience with Python, R, Scala or other analytics languages Demonstrated experience in data manipulation with SQL and related tools, data management and efficient storage methods Good understanding of statistics, machine-learning and numerical methods Proven ability to breakdown and clearly define problems Demonstrated ability to deliver and own projects that yield real business valuePreferred Qualifications: Masters or Ph.D. in scientific or quantitative fields Experience of large-scale distributed computing environments (Hadoop and related tools) Experience with deep learning, graph analytics and unsupervised learning methods Experience applying computational algorithms and statistical methods to structured and unstructured data Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular 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. Job Keywords: Data Science, Analytics, Pattern Classification, Predictive Analytics, Logistic Regression, Neural Network, Decision Tree, Machine Learning, Structured/Unstructured data, Risk Adjustment, Innovation, Dublin, Ireland
Our mission is to help people live healthier lives and to help make the health system work better for everyone.- We seek to enhance the performance of the health system and improve the overall health and well-being of the people we serve and their communities. - We work with health care professionals and other key partners to expand access to quality health care so people get the care they need... at an affordable price. - We support the physician/patient relationship and empower people with the information, guidance and tools they need to make personal health choices and decisions.