Cystems Logic Inc

Cystems Logic Inc

Sr Data Scientist

Renton, Washington, USA · Senior · Contract

Sponsorship not specifiedDetected 91 days ago
PythonGitSQLCloud PlatformsTerraformHelmCI/CDDevOpsMachine LearningSparkAirflowdbtData EngineeringData ScienceData VisualizationNLPLLMsStatisticsA/B TestingForecastingRecruitingHRISCommunicationCollaboration

About the role

  • Data engineering & infrastructure: experience working with ETL, feature engineering, data warehouses/lakes, and modern cloud platforms; familiarity with Spark, dbt, Airflow or equivalents desirable.

Responsibilities

  • 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
  • implement reproducible ETL, feature pipelines, model training pipelines, CI/CD, and deployment patterns.
  • 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.
  • 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.
  • 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.
  • The Data Scientist will lead end-to-end analytics initiatives focused on Talent and People Analytics, delivering predictive and prescriptive models to support HR decision-making.
  • 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.

Requirements

  • 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.
  • 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.
  • 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.

Nice to have

  • Must Have Skills Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Engineering, or related field
  • advanced degree preferred.
  • Skills Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Engineering, or related field

Skills

  • frames analytics as business products with clear KPIs and adoption plans.
  • Email:;br /> Cystems Logic Inc. (a Sybyte Technologies Inc company) Soft Logic Inc. (BC,
  • Managerial Skills Problem-solver with product mindset: frames analytics as business products with clear KPIs and adoption plans.
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