HYDERABAD · FULLTIME
Sr Analyst - Data Science
HCA Healthcare
Hyderabad · onsite · Posted 1d ago
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Undisclosed2–5 yrsfulltimeHyderabad
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Section · 01
About this role
Job Summary
Responsibilities
AI Preparedness Expectations
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
The Principal Data Scientist provides advanced, cross-functional advisory leadership for the HRG. This role is used for complex, ambiguous, or enterprise-impacting work that requires deep functional expertise, strong stakeholder influence, standards-setting, and the ability to connect business outcomes, data, technology, process, product, and AI-readiness considerations across multiple teams or portfolios.
The Principal Data Scientist supports HRG by leading statistical analysis efforts, deploying production ready machine learning models, experimentation, forecasting, Large Language Models, and advanced analytics techniques to workforce and HR business problems. This role leads the partnership with HR leaders, data engineers, data analysts, business insights analysts, product teams, and governance partners to develop explainable, ethical, and actionable analytical solutions.
The role is responsible for framing analytical problems, preparing data, building and evaluating models, ML Ops, communicating findings, and supporting responsible deployment of predictive or AI-enabled insights. This role is required to ensure bias and fairness testing has been completed prior to the deployment of an AI solution. Success requires statistical rigor, business context, coding capability, responsible AI awareness, and clear communication.
Responsibilities
- Consulting-Level Advisory Cross-Functional Leadership: Serve as a trusted advisor on complex HR Transformation Analytics initiatives that span multiple stakeholders, systems, functions, or business outcomes.
- Shape solution direction, operating approach, delivery standards, analytical methods, technical patterns, or governance practices for assigned areas of expertise.
- Lead complex discovery, problem framing, impact analysis, stakeholder alignment, and recommendation development where ownership or solution paths are not yet clear.
- Influence leaders and cross-functional partners through structured analysis, executive-ready communication, trade-off framing, and practical implementation recommendations.
- Establish reusable practices, playbooks, quality standards, templates, and decision frameworks that improve consistency and maturity across the HR Transformation Analytics organization.
- Advanced Analytics Modeling: Develop statistical, predictive, forecasting, segmentation, classification, natural language, or machine learning analyses for HR and workforce use cases.
- Prepare features, evaluate model performance, document assumptions, and compare modeling approaches based on business needs and data quality.
- Support experiments, pilots, model validations, and analytical prototypes that inform HR decisions and transformation priorities.
- Responsible AI, Evaluation Documentation: Document model purpose, data sources, assumptions, limitations, performance metrics, risks, and appropriate use cases.
- Support fairness, bias, explainability, privacy, and governance reviews for models or AI-enabled analytical outputs.
- Validate results with business stakeholders and avoid unsupported or overly deterministic interpretations of workforce data.
- Insight Translation Partnership: Partner with HR domain experts, product analysts, business insights analysts, and data teams to frame problems and interpret results in context.
- Translate advanced analytical findings into practical recommendations, decision options, and measurable next steps.
- Support operationalization of models, model monitoring, and feedback loops in partnership with engineering and governance teams.
- Data storytelling thru compelling executive ready report outs of analytical findings.
- AI-Augmented Data Science: Use approved AI tools to support code drafting, exploratory analysis, feature brainstorming, documentation, model comparison summaries, and research synthesis.
- Validate AI-assisted code, findings, and modeling recommendations through reproducible methods and peer review.
- Identify opportunities where AI, machine learning, or natural language analytics can responsibly improve HR insight and decision support.
- AI Preparedness Expectations: Shapes responsible AI adoption patterns for assigned domains, including appropriate use cases, controls, human review expectations, validation approaches, and stakeholder readiness.
- Advises leaders and cross-functional partners on how AI can improve productivity, insight generation, engineering, analytics delivery, process maturity, product outcomes, and workforce readiness.
- Establishes or contributes to reusable AI guidance, prompt patterns, quality checks, governance artifacts, and adoption practices that reduce risk and improve consistency.
- Builds advanced capability in AI-enabled operating models, responsible AI governance, AI-assisted analytics and engineering, and future-of-work implications over the next three years.
- Uses AI to accelerate code drafts, research synthesis, feature exploration, and documentation while preserving reproducibility and validation.
AI Preparedness Expectations
- Shapes responsible AI adoption patterns for assigned domains, including appropriate use cases, controls, human review expectations, validation approaches, and stakeholder readiness.
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
AutomationAgiledata privacydata preparationai frameworksbusiness insightsclassificationAgile Deliveryai governanceAnalyticsData AnalyticsAI ToolsCommunication SkillsAdvanced AnalyticsData GovernancecomplianceArtificial Intelligence
Section · Company
About HCA Healthcare
HCA Healthcare
Healthcare
4.0k+
employees
Nashville, TN
USA
₹17.9L PA avg
Avg at HCA Healthcare
About
HCA Healthcare - India is an integral innovation and operational hub in support of HCA Healthcare and our mission: Above all else, we are committed to the care and improvement of human life. HCA Healthcare is a company focused on creating healthier tomorrows through the delivery of patient-centered care across approximately 190 hospitals and 2,400 sites of care in the United States and United Kingdom.
Every day, our colleagues around the world go to work with a collective focus: our patients. This focus positively impacts the care experience at the bedside and beyond. HCA Healthcare - India serves as a vital hub for operations and supports HCA Healthcares work to enhance healthcare delivery through technology and innovation.
Industries
Healthcare
Employee ratings
9 reviews
4.7/ 5
Culture
4.3
Career growth
3.3
Work-life
4.1
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