Senior Data Scientist

Posted 2 Hours 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
Lead end-to-end development and production deployment of ML and AI solutions, build scalable pipelines and models (NLP, LLM, time-series, deep learning), implement MLOps, mentor junior staff, collaborate with cross-functional teams, and communicate results to leadership.
Summary Generated by Built In
Requisition Number: 2341464
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:
  • Lead end-to-end development of machine learning and AI solutions, from problem definition to production deployment
  • Collaborate with cross-functional teams to identify business opportunities and translate them into data-driven solutions
  • Build, optimize, and maintain scalable data pipelines and ML models using modern data science and MLOps practices
  • Perform advanced analytics, feature engineering, and statistical modeling to derive actionable insights
  • Develop and implement NLP, LLM, time-series, or deep learning models as required by business use cases
  • Ensure model performance, quality, and stability through monitoring, retraining strategies, and experimentation
  • Mentor junior data scientists/analysts and contribute to best-practice standards for modeling, coding, and documentation
  • Communicate technical results effectively to leadership through dashboards, visualizations, and presentations
  • Partner with engineering teams to productionize models using CI/CD, MLflow, and cloud ML platforms
  • Drive innovation by researching and evaluating new AI technologies, frameworks, and methodologies
  • 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:
  • B-Tech CSE graduate
  • Post graduation in Statistics/Mathematics or any related subject
  • Data science certification
  • 5+ years of hands-on experience in data science, machine learning, and advanced analytics.
  • 5+ years of experience building and deploying production-grade ML models (classification, regression, NLP, forecasting).
  • Expert-level proficiency in Python and SQL, with ML/DL libraries (e.g., Scikit-learn, TensorFlow, PyTorch) with 5+ years of experience
  • 2+ years of experience working with big-data technologies such as PySpark/Spark or distributed data platforms.
  • 2+ years of experience with cloud platforms (Azure, AWS, or GCP) for model training and deployment.
  • 2+ years of experience implementing MLOps (MLflow, CI/CD, model monitoring, data drift checks)
  • Experience mentoring or leading teams of data scientists or analysts for 2+ years
  • Proven track record of delivering at least 3-5 high-impact ML/AI solutions in production environments.
  • Demonstrated ability to work with cross-functional stakeholders and present complex findings to non-technical audiences.
  • Proven solid data storytelling abilities, demonstrated through executive-level presentations, dashboards, and narrative-driven insights that influenced key decisions

Preferred Qualification:
  • Hands on experience in GEN AI

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

  • B-Tech CSE graduate
  • Post graduation in Statistics/Mathematics or related subject
  • Data science certification
  • 5+ years of hands-on experience in data science, machine learning, and advanced analytics
  • 5+ years building and deploying production-grade ML models (classification, regression, NLP, forecasting)
  • Expert-level proficiency in Python and SQL
  • 5+ years experience with ML/DL libraries (Scikit-learn, TensorFlow, PyTorch)
  • 2+ years working with big-data technologies such as PySpark/Spark or distributed data platforms
  • 2+ years experience with cloud platforms (Azure, AWS, or GCP) for model training and deployment
  • 2+ years implementing MLOps (MLflow, CI/CD, model monitoring, data drift checks)
  • 2+ years mentoring or leading teams of data scientists or analysts
  • Proven track record delivering at least 3-5 high-impact ML/AI solutions in production environments
  • Demonstrated ability to present complex findings to non-technical audiences and deliver executive-level storytelling and dashboards
  • Hands on experience in Generative AI

What the Team is Saying

Optum Compensation & Benefits Highlights

  • Healthcare Strength Health coverage offers copay and HSA medical options with dental, vision, company‑paid life and disability, and free or low‑cost virtual visits. Feedback suggests the offering is comprehensive and competitive on paper.
  • Parental & Family Support Time off and family supports include PTO, eight paid holidays plus a floating day, six weeks paid parental leave, up to two weeks paid caregiver leave, Bright Horizons back‑up care, and adoption assistance up to $10,000. Feedback suggests these resources are meaningful for caregivers and family needs.
  • Retirement Support Savings programs include a 401(k) with employer match (after one year, vesting after two) and a 10%‑discount Employee Stock Purchase Plan. These programs bolster long‑term financial security when combined with other savings resources.

Optum Insights

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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
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Bengaluru, India
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