Senior Data Scientist
Optum Global Solutions · Gurugram · onsite · Posted 27d ago
Undisclosed5–10 yrsfulltimeSourced from
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About this role
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:
- Data Analysis Insights
- Analyze large and complex datasets to uncover trends, patterns, risks, and opportunities
- Perform exploratory, diagnostic, and root-cause analyses to answer key business questions
- Translate business requirements into analytical frameworks and measurable KPIs
- Develop recommendations that support strategic and operational decision-making
- Identify data gaps and propose solutions to improve measurement and reporting capabilities
- Data Engineering Snowflake Analytics
- Develop complex SQL queries to extract, transform, and analyze enterprise data
- Work extensively with Snowflake data warehouse environments
- Design scalable datasets and analytical models to support reporting and self-service analytics
- Validate data accuracy and maintain data quality standards
- Collaborate with data engineering teams on data architecture and optimization initiatives
- Business Intelligence Power BI
- Design and develop dashboards, scorecards, and reports using Power BI
- Create reusable semantic models, DAX measures, and interactive visualizations
- Optimize report performance and usability
- Support enterprise reporting needs through governed and scalable BI solutions
- Ensure metric definitions and reporting logic are documented and consistently applied
- Advanced Analytics Data Science
- Apply statistical techniques to understand business performance and customer behavior
- Support traditional machine learning initiatives
- Utilize Python, or related tools for data exploration and model development
- Conduct segmentation, clustering, forecasting, and trend analyses where applicable
- Evaluate analytical approaches and recommend appropriate methodologies for business challenges
- Stakeholder Collaboration
- Partner with business, product, and operational teams to understand analytical requirements
- Present findings to technical and non-technical audiences
- Communicate complex analytical concepts in a simple and actionable manner
- Influence decision-making through data-driven storytelling
- Builder Responsibility:
- Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
- 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:
- Bachelor''s degree in Computer Science, Engineering, Math, or related field required; MS/PhD preferred or equivalent experience
- 5+ years of professional experience in software/ML engineering, including 3+ years leading projects or teams
- Hands-on GenAI experience: LLMs, embeddings, RAG, fine-tuning, evaluation; familiarity with Hugging Face and LangChain/LlamaIndex
- Solid foundation in statistics and ML (hypothesis testing, experimental design, feature engineering, supervised/unsupervised methods)
- Deep learning expertise (PyTorch or TensorFlow) and modern NLP (transformers)
- Expert Python and pandas stack; ability to write vectorized, high-performance code; solid testing practices (pytest) and Git
- Solid data engineering skills: SQL; experience with Spark/Dask and workflow orchestration (Airflow/Prefect)
- Cloud proficiency (AWS/Azure/GCP) and containerization/orchestration (Docker/Kubernetes); CI/CD and IaC (Terraform) exposure
- Proven excellent communication and stakeholder management skills
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.
Sourced from naukri
Skills
data qualityDockerdaskdata architectureclusteringamazon web servicesapache airflowBusiness RequirementsAnalyticsData EngineeringcloudArchitectureAdvanced Analyticsdata analysisMicrosoft AzureBusiness IntelligenceData ScienceArtificial Intelligence
About Optum Global Solutions
Optum Global Solutions
IT Services & Consulting
33.0k+
employees
2002
24 years old
Hyderabad / Secunderabad, Telangana
India
₹11L PA avg
Avg at Optum Global Solutions
About
We are at the helm of a digital health care revolution, which is being accelerated by a combination of technology and talent. We build and deliver end-to-end digital health solutions for our clients.
Industries
IT Services & ConsultingHardware & NetworkingHealthcareSoftware Product
Employee ratings
10 reviews
4.0/ 5
Culture
3.6
Career growth
3.0
Work-life
3.6
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