Senior Data Scientist – Dublin/Letterkenny Hybrid
We are a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best.
About the Role:
We are one of the world's leading healthcare companies, with no limits on the resources you'll have or the challenges you'll encounter. We have been supporting global healthcare systems from Ireland and the UK for over 20 years, building a dynamic and diverse team of talented individuals.
You will be working on innovative AI projects driving and supporting various advanced analytic solutions aimed to improve healthcare delivery. You will be an important member of a Data Science team focused on innovation; developing predictive models that leverage data in new and exciting ways.
You will collaborate closely with business and product stakeholders, as well as with Business Intelligence and Data Engineering teams. Your primary responsibilities will include working with business to develop and operationalize analytic solutions, leveraging big data analytics infrastructure, and participating in Sprint Planning and Sprint Review meetings.
Primary Responsibilities:
* Work with business to develop and operationalize analytic solutions.
* Engage in communications for all important functions including data understanding/exploration, strategizing solutions etc.
* Leverage big data analytics infrastructure comprising Hadoop, MapR, Python, H2O, Spark and Snowflake to solve complex business problems in the healthcare domain.
* Leverage technical analytical expertise across the enterprise to architect, deploy, and oversee integrated analytics/business technology solutions.
* Collaborate with fellow data scientists, business analysts and subject matter experts to design and oversee the development of working prototypes of data science solutions.
* Participate in Sprint Planning and Sprint Review meetings with the Scrum Team and project stakeholders.
* Support and drive analytic efforts around machine learning and innovation.
* Work with autonomy to find solutions to complex problems.
* Possess and instill a sense of curiosity and collaboration in team members to reach across teams and research methodologies.
* Communicate analytic results and predictive models to business partners.
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 mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar.
* Proven experience with Machine Learning and/or Predictive Analytics, using Python.
* Hands-on experience with Big Data technologies (PySpark, H2O, Snowflake, Hive) and/or traditional relational database technologies (any of Oracle, MS SQL Server, MySQL, etc.).
* Experience applying computational algorithms and statistical methods to structured and unstructured data.
* Experience combining analytic methods with advanced data visualizations.
* Experience with CI/CD practices and tools (Git, GitHub, etc.) for development and monitoring throughout the model lifecycle.
* Ability to breakdown and clearly define problems.
* Demonstrated ability to own and deliver projects that deliver real business value.
* Strong communication, presentation and influencing skills.
Preferred Qualifications:
* Masters or PhD in mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar.
* Experienced with healthcare data.
* Experience in working with temporal data.
* Track record of designing and applying machine learning solutions for real world problems.
* Track record of publications in machine learning and/or artificial intelligence domain.
* Experience with deep learning frameworks such as Tensorflow, Theano, or Torch.
* Good knowledge of inferential statistics (hypothesis testing, A/B testing, etc.).
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.
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life.
We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace.
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