Data Scientist (Talent/People Analytics) and HR

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Role: Data Scientist

Must Have 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.