Senior Data Scientist,

3 weeks ago

Dublin, Dublin City, Ireland Optum Full time
Senior Data Scientist – Dublin/Letterkenny Hybrid

Optum is a global organisation 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. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

About the Role:

As a Fortune 5 business, we're one of the world's leading healthcare companies. There are no limits here 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 more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams.

As the Senior Data Scientist, 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. It will give you a great opportunity to get into the Healthcare Data world and learn best practices in the industry working with data both on-prem and in cloud.

You will work in close collaboration with business and product stakeholders, as well as with Business Intelligence and Data Engineering teams. You will contribute across the Data Science toolset, patents or products in areas like shared codes, best practices, technology and quality. You will embrace continuous learning and evangelizing of Data Science practices to ensure industry best practices and technology adoption.

Primary Responsibilities of the Senior Data Scientist:

1. Work with business to develop and operationalize analytic solutions.
2. Engage in communications for all important functions including data understanding/exploration, strategizing solutions etc.
3. Leverage big data analytics infrastructure comprising Hadoop, MapR, Python, H2O, Spark and Snowflake to solve complex business problems in the healthcare domain.
4. Leverage technical analytical expertise across the enterprise to architect, deploy, and oversee integrated analytics/business technology solutions.
5. Collaborate with fellow data scientists, business analysts and subject matter experts to design and oversee the development of working prototypes of data science solutions.
6. Participate in Sprint Planning and Sprint Review meetings with the Scrum Team and project stakeholders.
7. Support and drive analytic efforts around machine learning and innovation.
8. Work with autonomy to find solutions to complex problems.
9. Possess and instill a sense of curiosity and collaboration in team members to reach across teams and research methodologies.
10. Communicate analytic results and predictive models to business partners.

You will be rewarded and recognised 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 of the Senior Data Scientist:

1. Degree in mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar.
2. Proven experience with Machine Learning and/or Predictive Analytics, using Python.
3. 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.).
4. Experience applying computational algorithms and statistical methods to structured and unstructured data.
5. Experience combining analytic methods with advanced data visualizations.
6. Experience with CI/CD practices and tools (Git, GitHub, etc.) for development and monitoring throughout the model lifecycle.
7. Ability to breakdown and clearly define problems.
8. Demonstrated ability to own and deliver projects that deliver real business value.
9. Strong communication, presentation and influencing skills.

Preferred Qualifications:

1. Masters or PhD in mathematics, physics, computer science, engineering, statistics, bioinformatics, actuarial science or similar.
2. Experienced with healthcare data.
3. Experience in working with temporal data.
4. Track record of designing and applying machine learning solutions for real world problems.
5. Track record of publications in machine learning and/or artificial intelligence domain.
6. Experience with deep learning frameworks such as Tensorflow, Theano, or Torch.
7. 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. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes. 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. 2024 Optum Services (Ireland) Limited. All rights reserved.

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