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Sr Principal Data Scientist
role at
hackajob This range is provided by hackajob. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$132,200.00/yr - $226,600.00/yr hackajob
is collaborating with
UnitedHealth Group
to connect them with exceptional tech professionals for this role. Sr Principal Data Scientist - Remote Requisition Number: 2303481 Job Category: Business & Data Analytics Primary Location: San Diego, CA, US (Remote considered) Optum is 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. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start
Caring. Connecting. Growing together . Optum Insight partners with payers, providers, governments and life sciences companies to simplify and enhance clinical, administrative and financial processes through software-enabled services and analytics, while advancing value-based care. Our differentiated products, technology insights, clinical expertise and analytics support the entire health system — ultimately delivering better experiences for consumers. Optum Insight Technology and Engineering is a critical function in Optum Insight driving the innovation and value we provide our customers and partners. This team is focused on products, solutions, platform / enabling capability development, product development lifecycle, engineering excellence and connectivity to Optum Technology. We are seeking a visionary leader to drive our Data Science Group’s strategic initiatives, focusing on innovation and collaboration. You will transform research into production-ready solutions, lead a globally distributed team, and oversee the development of impactful AI products like Autonomous Coding and RTS Checkout. Collaborate with product, engineering, and business teams to identify and prioritize projects, establish scalable processes, and foster innovation. Your leadership will guide technical problem-solving, manage risks, and ensure products contribute to revenue goals while maintaining strong stakeholder engagement. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities
Strategic Leadership: Define and drive the vision and strategy for the Data Science Group, aligning with overall business objectives and enterprise-wide initiatives. Ability to take research whitepapers to production AI Product Delivery: Oversee the development and deployment of high-impact AI products like Autonomous Coding and RTS Checkout, ensuring timely and high-quality delivery Cross-Functional Collaboration: Partner with product, engineering, and business teams to integrate data science solutions into enterprise-wide initiatives and drive measurable impact Scalability and Efficiency: Establish processes, tools, and best practices to scale data science operations and improve team efficiency Innovation and R&D: Lead efforts in research and development to stay at the forefront of machine learning, AI, and data science advancements Technical Oversight: Guide the team in solving complex technical problems, including cloud-based model deployment and large-scale data engineering Revenue Impact: Ensure the data science team delivers products and insights that contribute to achieving projected revenue goals Stakeholder Engagement: Act as a key liaison between the Data Science Group and senior leadership, ensuring alignment and reporting on progress Risk Management: Anticipate and mitigate risks related to data science initiatives, including scalability, technical challenges, and talent retention Required Qualifications
10+ years of experience in data science, machine learning, or AI Demonstrated experience of machine learning, statistical modeling Experience with AI frameworks include PyTorch, LLMs, Foundational Language Model Training, Generative AI, Vector Databases, Transformers, State Space Models, and Deep Learning architectures Proven experience aligning technical initiatives with business goals and driving enterprise-wide impact Experience in team building, mentorship, and talent development fostering a high-performing and innovative team Demonstrated experience managing complex, large-scale projects with multiple stakeholders and tight deadlines Preferred Qualifications
Proven excellent cross-functional collaboration skills, with experience working across product, engineering, and business teams Proven solid communication and presentation skills for engaging with senior leadership and stakeholders Proven track record of driving research and innovation in data science to solve complex business problems Demonstrated ability to deliver measurable business outcomes, such as scaling AI products to achieve revenue targets Experience with cloud-based model deployment (e.g., AWS, Azure, GCP) Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits re subject to eligibility requirements). UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
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Sr Principal Data Scientist
role at
hackajob This range is provided by hackajob. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$132,200.00/yr - $226,600.00/yr hackajob
is collaborating with
UnitedHealth Group
to connect them with exceptional tech professionals for this role. Sr Principal Data Scientist - Remote Requisition Number: 2303481 Job Category: Business & Data Analytics Primary Location: San Diego, CA, US (Remote considered) Optum is 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. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start
Caring. Connecting. Growing together . Optum Insight partners with payers, providers, governments and life sciences companies to simplify and enhance clinical, administrative and financial processes through software-enabled services and analytics, while advancing value-based care. Our differentiated products, technology insights, clinical expertise and analytics support the entire health system — ultimately delivering better experiences for consumers. Optum Insight Technology and Engineering is a critical function in Optum Insight driving the innovation and value we provide our customers and partners. This team is focused on products, solutions, platform / enabling capability development, product development lifecycle, engineering excellence and connectivity to Optum Technology. We are seeking a visionary leader to drive our Data Science Group’s strategic initiatives, focusing on innovation and collaboration. You will transform research into production-ready solutions, lead a globally distributed team, and oversee the development of impactful AI products like Autonomous Coding and RTS Checkout. Collaborate with product, engineering, and business teams to identify and prioritize projects, establish scalable processes, and foster innovation. Your leadership will guide technical problem-solving, manage risks, and ensure products contribute to revenue goals while maintaining strong stakeholder engagement. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities
Strategic Leadership: Define and drive the vision and strategy for the Data Science Group, aligning with overall business objectives and enterprise-wide initiatives. Ability to take research whitepapers to production AI Product Delivery: Oversee the development and deployment of high-impact AI products like Autonomous Coding and RTS Checkout, ensuring timely and high-quality delivery Cross-Functional Collaboration: Partner with product, engineering, and business teams to integrate data science solutions into enterprise-wide initiatives and drive measurable impact Scalability and Efficiency: Establish processes, tools, and best practices to scale data science operations and improve team efficiency Innovation and R&D: Lead efforts in research and development to stay at the forefront of machine learning, AI, and data science advancements Technical Oversight: Guide the team in solving complex technical problems, including cloud-based model deployment and large-scale data engineering Revenue Impact: Ensure the data science team delivers products and insights that contribute to achieving projected revenue goals Stakeholder Engagement: Act as a key liaison between the Data Science Group and senior leadership, ensuring alignment and reporting on progress Risk Management: Anticipate and mitigate risks related to data science initiatives, including scalability, technical challenges, and talent retention Required Qualifications
10+ years of experience in data science, machine learning, or AI Demonstrated experience of machine learning, statistical modeling Experience with AI frameworks include PyTorch, LLMs, Foundational Language Model Training, Generative AI, Vector Databases, Transformers, State Space Models, and Deep Learning architectures Proven experience aligning technical initiatives with business goals and driving enterprise-wide impact Experience in team building, mentorship, and talent development fostering a high-performing and innovative team Demonstrated experience managing complex, large-scale projects with multiple stakeholders and tight deadlines Preferred Qualifications
Proven excellent cross-functional collaboration skills, with experience working across product, engineering, and business teams Proven solid communication and presentation skills for engaging with senior leadership and stakeholders Proven track record of driving research and innovation in data science to solve complex business problems Demonstrated ability to deliver measurable business outcomes, such as scaling AI products to achieve revenue targets Experience with cloud-based model deployment (e.g., AWS, Azure, GCP) Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits re subject to eligibility requirements). UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
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