Senior Data Scientist- Dublin/Letterkenny, Ireland
Optum, the fastest growing part of UnitedHealth Group, is a leading information and technology-enabled health services business. Our teams are dedicated to modernising the health care system and improving the lives of people and communities.
Serving virtually every dimension of the health system, we work with a diverse set of clients across 150 countries - from those who diagnose and treat patients to those who pay for care, deliver health services, and those who supply the cures. Optum maintains operations across North America, South America, Europe, Asia Pacific and the Middle East. Our innovative partnerships provide technology and tools that enable unprecedented collaboration and efficiency. As a result, we can tap into valuable health care data to uncover insights and develop strategies for better care at lower costs.
About the role:
You believe data can help reshape the future, and you find yourself loving the thrill of diving into challenging analysis. At UnitedHealth Group, you'll find an organization that will recognize those talents and have lots of growth potential. Here, you will be empowered, supported and encouraged to use your analytics expertise to help change the future of health care. Join us and start doing your life's best work.???
As our Senior Data Scientist, you will join our United Clinical Services group working on a range of innovative solutions that are helping to transform value-based care. You will join a small, multi-disciplinary and talented team that are helping to improve healthcare delivery, working on projects that have a real impact and business value and are used by both Clinicians and external Providers. You will use your expertise in machine learning and use of cutting-edge tools in order to show the true value of the healthcare data that we have, allowing clinicians and Providers to unlock new and more effective ways to increase value and success.
Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office.
Primary Responsibilities:
- Collaborate with team members and business partners to determine problem definition and requirements, manage expectations, and meet timelines
- Propose innovative ways to look at problems using machine learning & data mining
- Use appropriate sampling, data preparation, analytic and statistical methodology to develop predictive models; combine this with business strategy skills to develop solutions that leverage datasets of any quantity, shape or size
- Discover insights and opportunities using statistical, data mining and visualization techniques
- Document, summarize and communicate findings, verbally and visually, in a way that is easily understood by internal business partners
- Seek out new data sources that fill gaps and improve models
- Help source, clean and verify integrity of data used for analysis
- Support business needs around analytics, predictive modeling and business intelligence
- Cross - train with team members on software skills, data sources and other work aspects
You will 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 providing development for other roles you may be interested in.
Required Qualifications:
- Degree in Analytics, Statistics, Physics, Mathematics, Engineering, other with a significant quantitative aspect or equivalent experience
- Experience in advanced analytics and machine learning projects
- EDA on variety of datasets - validating data, interpreting results of analysis, identifying variances / trends / root cause and providing solutions
- In depth knowledge and hands-on computer programming in SQL, Python, R, or similar programming language
- Deep understanding of supervised and unsupervised machine learning techniques - e.g. regression, clustering, decision trees & random forests, predictive analytics
- Ability to work a portion of monthly work hours from our Dublin or Letterkenny office is required
Preferred Qualifications:
- Master's or PhD degree in a quantitative discipline
- Experience with AI based solutions/deep learning
- 20 - 30% data engineering experience
- Familiarity with healthcare data
- Data visualisation experience - Tableau, PowerBI, Opensource (Plotly) etc???
- Experience with ETL processes to extract, transform and load data across disparate systems
Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.
Careers with United Health Group. 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.???
All telecommuters will be required to adhere to the 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.
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