Director of AI Data Science - Remote
Company: UnitedHealth Group
Location: Minnetonka
Posted on: May 31, 2025
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Job Description:
At UnitedHealthcare, we're simplifying the health care
experience, creating healthier communities and removing barriers to
quality care. The work you do here impacts the lives of millions of
people for the better. Come build the health care system of
tomorrow, making it more responsive, affordable and equitable.
Ready to make a difference? Join us to start Caring. Connecting.
Growing together.
The Director of AI Data Science is a leadership role responsible
for overseeing the strategic implementation and management of
artificial intelligence, data science, and research initiatives
within Provider Operations. Focuses on analyzing and interpreting
complex data to develop AI models that can predict, classify and
generate insights.
This role demands a strategic and technical mindset, with a focus
on modern data solutions, cloud data services, and emerging
technologies in the data and AI space.
You will be a part of an innovative team, working closely with our
product owners, data engineers, and software engineers to build new
AI/ML solutions and productionize them.
We are looking for someone with a passion for data, ML, and
programming, who can build ML solutions at-scale with a hands-on
approach with detailed technical acumen.
You'll enjoy the flexibility to work remotely * from anywhere
within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Lead and grow a team of Data Scientists
Analyze and interpret complex data to help develop AI models.
Responsible for data exploration, data cleaning, and statistical
analysis
Responsible for the management and manipulation of structured and
unstructured data, with a focus on conducting analysis to
distinguish patterns and recognize trends, performing normalization
operations and assuring data quality
Creating specifications to bring data into a common structure,
creating product specifications and models, developing data
solutions to support analyses, performing analysis, interpreting
results, developing actionable insights and presenting
recommendations for use across the company
Conducting fundamental research in AI, including areas such as
machine learning, deep learning, natural language processing,
computer vision, and reinforcement learning
Perform advanced analytics and exploratory data analysis to extract
actionable insights, develop predictive, prescriptive, and
descriptive analytics to inform decision-making, work with
structured and unstructured data to uncover trends and patterns
Partner with data engineering teams to ensure the availability of
robust data pipelines, data infrastructure and tools
Recommend and implement data tools, frameworks, and platforms to
enhance workflows
Devise and utilize algorithms and models to mine big data stores,
perform data and error analysis to improve models, and clean and
validate data for uniformity and accuracy
Serve as a subject matter expert on a wide range of ML techniques
and optimizations
Execute data science and statistical analytical experiments
methodically to help solve various problems and make a true impact
across various healthcare domains
Focuses on designing and implementing machine learning algorithms
and models
Work closely with data scientists to turn prototypes into scalable
solutions
Collaborate with technology and ML Ops teams to deploy models into
production. Design performance metrics and use data visualization
tools to monitor model results,
Stay informed about AI trends, particularly those that may impact
the business, and communicate these developments to the team
Develop tools and models such as segmentation, dashboards, data
visualizations, decision aids and business case analysis to support
the organization
Staying updated with the latest research and advancements in AI by
reading academic papers, attending conferences, and collaborating
with other researchers. Stay current with industry developments and
advancements in machine learning and deployment methodologies.
Stays updated with the latest research and advancements in AI. They
explore new methodologies and algorithms to enhance the AI
capabilities of the project
Develop new algorithms and models that can improve the efficiency,
accuracy, and functionality of AI systems
Ensure that the data used for model training is accessible, clean,
and well-structured
Provide in-depth knowledge of ML algorithms, frameworks, and
techniques
Enhance ML workflows through advanced proficiency in large language
models (LLMs) and related techniques
Employ visualization tools for model testing, results presentation,
and data pattern analysis. Design metrics for model selection and
performance monitoring
Stay abreast of AI research advancements, industry best practices,
to ensure all AI initiatives remain at the forefront of innovation
and compliance. Actively contribute to proof-of-concept tests for
new processes and technologies
You'll 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 provide
development for other roles you may be interested in.Required
Qualifications:
10+ years of experience in Data Science and/or Artificial
Intelligence/Machine Learning
Experience managing a team Data Scientists (direct reports)
Proven experience implementing large scale Data Science in
production environments
Proven deep understanding of Natural Language Processing (NLP) and
Large Language Model (LLM) techniques, including Agents, Planning,
Reasoning, and other related methods
Proven solid background in Natural Language Processing (NLP) and
Large Language Models (LLMs)
Experience in advanced applied ML areas such as GPU optimization,
finetuning, embedding models, inferencing, prompt engineering,
evaluation, RAG (Similarity Search)
Experience in machine learning algorithms approaches including
unsupervised, supervised and reinforcement learning
Demonstrated familiarity with AI frameworks like TensorFlow,
PyTorch, or Keras
Proven in-depth understanding of Search/Ranking, Recommender
systems, Graph techniques, and other advanced methodologies
Preferred Qualifications:
Experience in healthcare industry
Proven track record of published research and/or contributions to
the AI community
Demonstrated leadership in working effectively with engineers,
product managers, and other ML practitioners
Ability to align technical innovation with business goals, ensuring
the successful delivery of impactful AI products
Demonstrated passion for innovation and continuous learning, with a
commitment to staying current with the latest advancements in AI
and related technologies
*All employees working remotely will be required to adhere to
UnitedHealth Group's Telecommuter Policy
The salary range for this role is $124,500 to $239,400 annually
based on full-time employment. Pay is based on several factors
including but not limited to local labor markets, education, work
experience, certifications, etc. UnitedHealth Group complies with
all minimum wage laws as applicable. In addition to your salary,
UnitedHealth Group offers benefits such as, a comprehensive
benefits package, incentive and recognition programs, equity stock
purchase and 401k contribution (all benefits are subject to
eligibility requirements). No matter where or when you begin a
career with UnitedHealth Group, you'll find a far-reaching choice
of benefits and incentives.
Application Deadline: This will be posted for a minimum of 2
business days or until a sufficient candidate pool has been
collected. Job posting may come down early due to volume of
applicants.
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 marginalized 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.
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.
UnitedHealth Group is a drug - free workplace. Candidates are
required to pass a drug test before beginning employment.
Keywords: UnitedHealth Group, Brooklyn Park , Director of AI Data Science - Remote, Executive , Minnetonka, Minnesota
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