Data Scientist - W2 Only

The following requirement is open with our client. Title : Data Scientist Location : Renton WA/ St Louis, MO/ Dallas, TX/ Plano, TX Duration : 6+ Months Position : W2 Position Relevant Experience (in Yrs.): 8+yrs. Role Descriptions: Roles & Responsibilities • 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), explain ability 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. Must Have Skills: Data Scientist People Analytic, HR (Workday/Peoplesoft) Design, modeling, Python, Git, Spark, Airflow, Terraform, SHAP, LIME, SQL, Power BI, Tableau, • ML, ETL, CI/CD, NLP/LLM, AI Governance