Workday

4 weeks ago

Responsible AI Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Develop and operationalize analytics for responsible AI governance, translating policies into concrete evaluation requirements. Collaborate with ML engineers, product, legal and privacy teams to advance fairness, robustness, explainability, and observability of AI systems while delivering customer-facing analyses and actionable guidance.

Location: Dublin

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Partner with adjacent functions (product, legal, privacy, security) to interpret principles, translate them into concrete, testable requirements and evaluation plans across the AI development lifecycle
•Develop, maintain, and embed reusable evaluation methods and pipelines (e.g., for fairness, robustness, safety, quality) into AI platforms and workflows
•Define, implement, and document a curated set of metrics, evaluation templates, and best practices for scalable Responsible AI governance
•Stay informed about Responsible AI developments and translate advances into practical recommendations and improvements to evaluation capabilities
•Produce clear, stakeholder-facing analyses and narratives that explain evaluation approaches, findings, and tradeoffs and advocate for responsible AI considerations in product and model development

Pay and Benefits

Salary: EUR 80,200 - 120,200 annually

Key Requirements

•5+ years in data science, data analytics or data engineering
•Experience applying statistical and/or machine learning methods to real-world data
•Proficiency in at least one of Python, R, or Java with production/large projects
•Working knowledge of statistical analysis and hypothesis testing
•Hands-on experience with modern ML/LLM tooling (e.g., Kubeflow, SageMaker, Databricks) and LLM observability frameworks

Experience:5+ yearsAIMLData analyticsData engineering

Skills:CommunicationCollaborationProblem-solvingStakeholder management

Languages:English

Tech Stack:PythonRJavaKubeflowSageMakerDatabricksLangSmithLLM observabilityAWSAzureGoogle Cloud

Company Brief

Workday

Provides cloud-based enterprise applications for human capital management, financial management, payroll, and analytics. Delivers unified HR and finance software suites to large organizations, enabling workforce planning, talent management, payroll, and financial reporting.

Industry: HR Tech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Pleasanton, United States

Founded: 2005

Website LinkedIn

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Workday

4 weeks ago

Responsible AI Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Dublin

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Partner with adjacent functions (product, legal, privacy, security) to interpret principles, translate them into concrete, testable requirements and evaluation plans across the AI development lifecycle
•Develop, maintain, and embed reusable evaluation methods and pipelines (e.g., for fairness, robustness, safety, quality) into AI platforms and workflows
•Define, implement, and document a curated set of metrics, evaluation templates, and best practices for scalable Responsible AI governance
•Stay informed about Responsible AI developments and translate advances into practical recommendations and improvements to evaluation capabilities
•Produce clear, stakeholder-facing analyses and narratives that explain evaluation approaches, findings, and tradeoffs and advocate for responsible AI considerations in product and model development

Pay and Benefits

Salary: EUR 80,200 - 120,200 annually

Key Requirements

•5+ years in data science, data analytics or data engineering
•Experience applying statistical and/or machine learning methods to real-world data
•Proficiency in at least one of Python, R, or Java with production/large projects
•Working knowledge of statistical analysis and hypothesis testing
•Hands-on experience with modern ML/LLM tooling (e.g., Kubeflow, SageMaker, Databricks) and LLM observability frameworks

Experience:5+ yearsAIMLData analyticsData engineering

Skills:CommunicationCollaborationProblem-solvingStakeholder management

Languages:English

Tech Stack:PythonRJavaKubeflowSageMakerDatabricksLangSmithLLM observabilityAWSAzureGoogle Cloud

Company Brief

Workday

Industry: HR Tech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Pleasanton, United States

Founded: 2005

Website LinkedIn