[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Houston, TX # HR -Data Scientist Houston, TX $110,000 to $140,000 Data & Analytics Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/416047J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / HR -Data Scientist ## Job description ### Must Have Technical/Functional Skills - Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Engineering, or related field; advanced degree preferred. - 7+ years of applied data science experience, with at least 5 years in Talent/People Analytics, or consulting for large enterprises. - Demonstrated experience delivering end-to-end analytics and deploying models to production in cross-functional environments. - Strong experience with HR systems and data models (Workday, PeopleSoft) or equivalent enterprise HR data experience. ### Modeling & methods - strong foundations in statistical modeling (linear/logistic regression, survival analysis/time-to-event where relevant), tree-based methods, clustering, causal methods, and applied NLP/transformer/LLM techniques for text-based HR applications. ### Programming - production-capable Python coding (modular design, testing, packaging), experience with version control (Git), and collaboration with DevOps/CI-CD workflows. ### Data engineering & infrastructure - experience working with ETL, feature engineering, data warehouses/lakes, and modern cloud platforms; familiarity with Spark, dbt, Airflow, or equivalents desirable. ### Model lifecycle & tooling - familiarity with model registries and lifecycle tools (MLflow, Seldon, Terraform/Helm or equivalent), explainability tools (SHAP, LIME), fairness/tooling (AIF360 or equivalent), and monitoring frameworks. ### Querying & visualization - advanced SQL skills; experience with BI/visualization tools (Tableau, Power BI) and producing executive-ready dashboards and narratives. ### Privacy & security - practical knowledge of de-identification, synthetic data, and access-control patterns for sensitive HR data. Roles & Responsibilities ### Lead end-to-end analytic projects - define problem statements with HR stakeholders, design experiments, select appropriate methods, develop models, validate results, and deliver production-ready solutions and monitoring. - Build predictive and prescriptive models for talent use cases (attrition/retention, internal mobility, promotion forecasting, performance indicators, recruitment sourcing/scoring, skilling/curation, compensation analytics). - Develop and productionize features and models in collaboration with data engineers and ML engineers: implement reproducible ETL, feature pipelines, model training pipelines, CI/CD, and deployment patterns. - Apply statistical methods, hypothesis testing, causal inference where appropriate, and robust validation (cross-validation, holdouts, calibration, fairness testing) to ensure reliable, defensible results. - Design and operationalize NLP/LLM solutions for HR use cases (resume parsing, candidate experience, employee feedback analysis) while enforcing privacy, data minimization and explainability requirements. - Instrument model monitoring and drift detection; define alerting, retraining triggers, and remediati on plans. - Produce clear, actionable visualizations and dashboards that tell the story of analytic findings and drive decisions; collaborate with BI developers to operationalize reporting. - Translate technical analyses into business recommendations, quantify expected impact, and work with partners to implement changes and measure outcomes. - Mentor junior data scientists/analysts, review code and model artifacts, and help raise team standards for reproducibility, documentation, and governance. - Ensure models and data products adhere to governance, privacy, and ethical requirements; collaborate with HR Data Steward, Legal/Privacy, and Ethics/AI governance on reviews and approvals. Generic Managerial Skills, If any ### Problem-solver with product mindset - frames analytics as business products with clear KPIs and adoption plans. ### Ownership & results orientation - takes accountability for delivery, end-to-end operation, and measurable impact. ### Communication & storytelling - synthesizes complex analyses into concise recommendations for HR leaders and executives. ### Collaboration & influence - builds strong cross-functional relationships and navigates competing priorities. ### Coaching & development - mentors peers and contributes to team capability growth. ### Ethical judgment - prioritizes fairness, privacy, and employee impact in modelling decisions. ### Base Salary Range $110,000 to $140,000 Per Annum TCS Employee Benefits Summary: Discretionary Annual Incentive. ### Comprehensive Medical Coverage Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. ### Family Support Maternal & Parental Leaves. ### Insurance Options Auto & Home Insurance, Identity Theft Protection. ### Convenience & Professional Growth Commuter Benefits & Certification & Training Reimbursement. ### Time Off Vacation, Time Off, Sick Leave & Holidays. ### Legal & Financial Assistance Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SV2 #LI-KUMARAN