Data Scientist

Posted 8 Days Ago
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Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Role
Design, build, and deploy analytics, ML and AI solutions using SQL, Python, Databricks, MLflow, and Azure. Create dashboards and reports in Power BI, perform EDA, forecasting, and model development, and collaborate with stakeholders to translate insights into actionable business recommendations while ensuring responsible AI use.
Summary Generated by Built In
Requisition Number: 2372931
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.
Primary Responsibilities:
  • Design, develop, and deploy solutions with advanced analytics, machine learning, and AI to address complex business challenges while ensuring responsible and ethical use of AI
  • Perform data extraction, transformation, and analysis using SQL, Python, and Databricks to generate actionable business insights from large and complex datasets
  • Leverage enterprise-approved tools to automate data analytics workflows, streamline reporting processes, and improve operational efficiency
  • Develop and maintain interactive dashboards, scorecards, and executive reporting solutions using Power BI to monitor key business and operational metrics
  • Conduct exploratory data analysis, root-cause analysis, forecasting, and trend analysis to identify opportunities for business improvement
  • Collaborate with business stakeholders, product teams, and technical partners to translate business requirements into scalable analytics and data science solutions
  • Build, train, validate, and optimize predictive, statistical, and machine learning models (Regression, Decision Trees, Random Forest, Clustering, Time Series, Ensemble Models) to support data-driven decision making
  • Manage model development lifecycles, experimentation, monitoring, and deployment using MLflow and Azure cloud platforms
  • Evaluate emerging technologies, AI capabilities, and analytics best practices to drive innovation and strategic transformation initiatives
  • Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:
  • 5+ years of experience delivering Data Analytics, Business Intelligence, Data Science, and AI/ML solutions in enterprise environments
  • Experience developing complex SQL queries, stored procedures, data models, and analytical datasets from large-scale relational and cloud-based data platforms
  • Experience designing and deploying enterprise-scale dashboards, KPI scorecards, and self-service reporting solutions using Power BI
  • Experience translating complex analytical findings into executive-ready presentations, business recommendations, and strategic insights
  • Understanding with Databricks, MLflow, and Microsoft Azure ecosystem
  • Solid understanding of data modeling, data governance, data quality, and big data architecture
  • Skills in:
    • SQL
    • Power BI
    • Python
    • Databricks
    • Azure Cloud
    • Machine Learning
    • Data Visualization
    • Predictive Analytics
    • Business Intelligence
    • Generative AI
    • Healthcare Analytics
  • Demonstrated expertise in machine learning techniques including Linear/Logistic Regression, Random Forest, Decision Trees, Clustering, Time Series Forecasting, PCA, Ensemble Learning, and Predictive Modeling
  • Advanced proficiency in SQL, Python, and Power BI for data analysis, visualization, reporting, and decision support
  • Demonstrated solid communication and stakeholder management skills with the ability to bridge business needs and technical solutions

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.

Skills Required

  • 5+ years delivering Data Analytics, Business Intelligence, Data Science, and AI/ML solutions in enterprise environments
  • Experience developing complex SQL queries, stored procedures, data models, and analytical datasets from large-scale relational and cloud-based data platforms
  • Experience designing and deploying enterprise-scale dashboards, KPI scorecards, and self-service reporting solutions using Power BI
  • Experience translating complex analytical findings into executive-ready presentations, business recommendations, and strategic insights
  • Understanding of Databricks, MLflow, and the Microsoft Azure ecosystem
  • Solid understanding of data modeling, data governance, data quality, and big data architecture
  • Skill in SQL
  • Skill in Power BI
  • Skill in Python
  • Skill in Databricks
  • Skill in Azure Cloud
  • Skill in Machine Learning
  • Skill in Data Visualization
  • Skill in Predictive Analytics
  • Skill in Business Intelligence
  • Skill in Generative AI
  • Skill in Healthcare Analytics
  • Demonstrated expertise in ML techniques (Linear/Logistic Regression, Random Forest, Decision Trees, Clustering, Time Series Forecasting, PCA, Ensemble Learning, Predictive Modeling)
  • Advanced proficiency in SQL, Python, and Power BI for analysis, visualization, reporting, and decision support
  • Strong communication and stakeholder management skills to bridge business needs and technical solutions

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Healthcare Strength Official materials highlight copay and HSA medical plan choices with in‑network preventive care at 100%, prescription coverage, and low/no‑cost virtual visits, plus company HSA contributions. Dental preventive services are 100% in network, and mental health resources include an EAP and premium Calm access.
  • Parental & Family Support Programs include six weeks paid parental leave, up to two weeks paid caregiver leave, and Bright Horizons back‑up care with enhanced family supports. Adoption assistance up to $10,000 for full‑time employees reinforces family‑oriented benefits.
  • Equity Value & Accessibility Financial benefits include an Employee Stock Purchase Plan at a 10% discount, expanding access to equity ownership.

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The Company
HQ: Eden Prairie, MN
160,000 Employees
Year Founded: 2011

What We Do

Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

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Optum Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.

Typical time on-site: Not Specified
HQEden Prairie, MN
Metro Manila, Philippines
Cebu, Philippines
Davao, Philippines
Ann Arbor, MI
Atlanta, GA
Baltimore, MD
Bengaluru, India
Chennai, India
Dallas, TX
Detroit, MI
Dublin, Ireland
Hartford, CT
Houston, TX
Hyderabad, India
Jacksonville, FL
Las Vegas, NV
Letterkenny, Ireland
Louisville, KY
Madison, WI
Minneapolis, MN
Nashville, TN
New Delhi, India
Philadelphia, PA
Phoenix, AZ
Pune, India
Raleigh, NC
San Diego, CA
Washington, DC
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