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Principal Data Scientist

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Optum

Sep 8

Applications are closed

  • Job
    Full-time
    Senior & Expert Level
  • Data
    Healthcare
  • Dublin

Requirements

  • Required Qualifications of the Principal Data Scientist:
  • Bachelor’s Degree in relevant field (data science, analytics, mathematics, economics, business, statistics, engineering, or finance) or equivalent experience
  • Extensive experience working within technical and business professionals in a matrix management environment, managing multiple priorities and deadlines
  • Proven track record of leading analytics projects requiring experience with statistical models with an understanding of different statistical methods and approaches
  • Clearly demonstrated expertise in problem solving, data management, study design, and study implementation
  • Advanced experience in Machine Learning or AI model development and deployment
  • Expert proficiency in SQL, and at least one scripting language such as SAS, R, or Python
  • High degree of proficiency with Data Visualisation / Dashboard tools (e.g., Power BI)
  • Extensive experience (end to end) in Machine Learning Algorithms on OCR, Voice, Speech, Deep Learning, Transformers etc.
  • Preferred Qualifications of the Principal Data Scientist:
  • Ph. D or Master’s Degree in relevant field (data science, analytics, mathematics, economics, business, statistics, engineering, or finance) or equivalent experience
  • Experience or knowledge of cloud-based data analytics e.g. (AWS, Azure, Snowflake)
  • Experience in medical data including hospital, ancillary, and physician
  • Experience in Generative AI Use Cases leveraging LLM’s and exposure to LLMs like Langchain, RAG, ChatGpt 4 and Chatgpt 4oc
  • Understanding of Medicare risk adjustment programs

Responsibilities

  • 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
  • Syntheise business requirements and translate into technical specifications. Define technical, data and system configuration specifications and business analysis requirements
  • Identify gaps, process improvement, and automation opportunities, and lead such activities to execution
  • Anticipate customer needs, proactively develop & deliver solutions to meet them, and forecast/predict the impact to the business
  • Develop insights regarding the effectiveness of existing analytic tools and methodologies and recommend changes
  • Utilise a broad range of analytic approaches including predictive analytics, issue detection, trend analysis, and data visualisation to best address the business priorities
  • 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
  • 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
  • Migrate data from legacy systems to new solutions
  • Mentor junior resources to develop their analytic skills
  • Design conceptional and logical data model and flowcharts

FAQs

Do we support remote work?

Yes, we support remote work in a hybrid format, allowing individuals to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from home.

What educational qualifications are required for this position?

A Bachelor's Degree in a relevant field such as data science, analytics, mathematics, economics, business, statistics, engineering, or finance is required, or equivalent experience.

What types of technical skills are necessary for the Principal Data Scientist role?

Advanced experience in Machine Learning or AI model development and deployment, expert proficiency in SQL, and at least one scripting language such as SAS, R, or Python are necessary, along with proficiency in data visualization tools like Power BI.

Is previous experience in healthcare analytics required?

While extensive experience in analytics is required, experience with medical data, including hospital, ancillary, and physician data, is preferred but not mandatory.

What are the primary responsibilities of a Principal Data Scientist at Optum?

Responsibilities include architecting solutions, designing and maintaining Big Data solutions, synthesizing business requirements into technical specifications, leading process improvements, developing insights, and mentoring junior resources.

Are there opportunities for career development within this role?

Yes, Optum emphasizes career development opportunities and clear guidance on what it takes to succeed in the role, along with pathways to other positions of interest.

What kind of projects will I be leading as a Principal Data Scientist?

You will be leading analytics projects that require statistical models, machine learning, predictive analytics, and process improvement initiatives within the healthcare domain.

Are there any specific preferred qualifications for the role?

Preferred qualifications include a Ph.D. or Master’s Degree in a relevant field, knowledge of cloud-based data analytics (like AWS, Azure, Snowflake), experience with Generative AI use cases, and an understanding of Medicare risk adjustment programs.

Is experience in managing multiple projects necessary for this role?

Yes, the ability to manage multiple competing business projects and deadlines is a significant requirement for this position.

How does Optum ensure a diverse and inclusive workplace?

Optum is committed to diversity and inclusion, ensuring that all qualified applicants receive consideration for employment regardless of race, gender, sexuality, age, location, income, and other protected characteristics.

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

Optum is a health services and technology company that provides a wide range of solutions to improve healthcare delivery and outcomes. They offer services in healthcare management, data analytics, pharmacy benefit management, and technology solutions to healthcare providers, payers, employers, and government agencies. Optum's ultimate mission is to improve the health system's efficiency and effectiveness, creating a healthier world for everyone. Their purpose lies in collaborating with healthcare partners to address complex challenges, such as improving care coordination, reducing healthcare costs, and enhancing patient experiences. By leveraging data-driven insights and innovative technology, Optum aims to empower healthcare professionals and organisations to deliver high-quality, patient-centered care and drive positive healthcare outcomes for individuals and communities worldwide.

Culture & Values

  • Integrity

    Honour commitments. Never compromise ethics.

  • Compassion

    Walk in the shoes of people we serve and those with whom we work.

  • Relationships

    Build trust through collaboration.

  • Innovation

    Invent the future, learn from the past.

  • Performance

    Demonstrate excellence in everything we do.

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