Principal Data Scientist
Carreiras no UnitedHealth Group
Estamos criando oportunidades em todas as áreas da assistência à saúde para melhorar vidas enquanto construímos carreiras. No UnitedHelath Group, apoiamos você com as ferramentas mais recentes, treinamento avançado e a força combinada de colegas de trabalho de alto calibre que compartilham sua paixão, sua energia e seu compromisso com a qualidade. Junte-se a nós e comece a fazer o melhor trabalho da sua vida.SM
Carreiras Clínicas
Compaixão. É o ponto de partida para profissionais de saúde como você e é o que nos move todos os dias, ao juntarmos nossas habilidades excepcionais com um verdadeiro sentimento de cuidar dos outros. Este é um lugar onde seu impacto vai além de cuidar de um paciente por vez. Porque aqui, todos os dias, você também fornece liderança e contribui de maneiras que podem afetar milhões nos próximos anos. Pronto para um novo caminho? Saiba mais e comece a fazer o melhor trabalho da sua vida.SM
Carreiras em Serviço ao Cliente
Nossas equipes de atendimento ao cliente e ouvidoria estão ajudando pessoas de todo o mundo. Podemos oferecer o melhor de você, ao colocar suas habilidades de escuta, análise e resolução de problemas em um ambiente voltado para ajudar a melhorar vidas e melhorar a assistência médica para milhões. Aqui, você descobrirá uma variedade de caminhos para o crescimento profissional no Atendimento ao Cliente e em toda a economia global. Junte-se a nós e descubra por que esse é o lugar para fazer o melhor trabalho da sua vida.SM
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.
At UnitedHealth Group and Optum, we want to make healthcare work better for everyone. This depends on hiring the best and brightest. With a thriving ecosystem of investment and innovation, our business in Ireland is constantly growing to support the healthcare needs of the future.
Our teams are at the forefront of building and adapting the latest technologies to propel healthcare forward in a way that better serves everyone. With our hands at work across all aspects of health, we use the most advanced development tools, AI, data science and innovative approaches to make the healthcare system work better for everyone.
As a Principal Data Scientist, you will play a crucial leadership role in the development and implementation of advanced reporting, analytic approaches, and tooling. You will work closely with other leaders to improve the efficiency and effectiveness of the entire organisation. We’re looking for a thought leader who thrives on architecting new solutions to solve tough challenges, and to help us on our mission of helping people live healthier lives.
The successful candidate will collaborate cross-functionally with various business and data analytics teams, have proven business analysis experience, and the ability to manage multiple competing business projects at one time.
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 in a hybrid work model.
Primary Responsibilities:
- Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement
- Architect the solutions; collaborate with stakeholders and internal business partners to understand business requirements and translate them into analytical solutions
- Design, code, test, document, and maintain high-quality and scalable Big Data solutions, delivered on time
- Accountability for socialising to the leadership; provide insights and guidance into actionable analytic findings through clear, succinct written and oral summaries, tables, charts, reports or presentations, that can be understood by a variety of audiences
- Synthesise business requirements and translate into technical specifications. Define technical, data and system configuration specifications and business analysis requirements
- Utilise a broad range of analytic approaches including predictive analytics, issue detection, trend analysis, and data visualisation to best address the business priorities
- Develop proficiency with departmental programming, analytic, and reporting software and other tools
- Comply with and contribute to departmental standards related to data, data governance, project planning, validation, and documentation
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:
- Bachelor’s Degree in relevant field (data science, analytics, mathematics, economics, statistics, engineering,) or equivalent experience
- Advanced experience in Machine Learning or AI model development and deployment
- Extensive experience working within technical and business professionals in a matrix management environment, managing multiple priorities and deadlines
- Experience or knowledge of cloud-based data analytics e.g. (AWS, Azure, Snowflake)
- Proven track record of leading analytics projects requiring experience with statistical models with an understanding of different statistical methods and approaches
- Expert level of proficiency in at least one scripting language such as Python
Preferred Qualifications:
- Ph. D or Master’s Degree in relevant field (data science, analytics, mathematics, economics, business, statistics, engineering, or finance) or equivalent experience
- Experience in medical or insurance data
- Experience in Generative AI Use Cases leveraging LLM’s
- Understanding of US Healthcare system
Soft Skills:
- Demonstrated expertise in problem solving, data management, study design, and study implementation
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. © 2023 Optum Services (Ireland) Limited. All rights reserved.
#RPO #BBMEMEA
Detalhes da Vaga
Número da Requisição 2300258
Segmento de Negócios Optum Global Advantage
Condição Empregatícia Regular
Viagem No
Additional Locations
Letterkenny, Ulster, IE
Status de hora extra Exempt
Horário de Trabalho Full-time
Turno Day Job
Posição de trabalho à distância Yes
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