Responsible AI Data Scientist

Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

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About the Team

Workday’s core value of integrity is the driving force behind the Workday Compliance & Integrity Team, which provides all Workmates with the knowledge and tools needed to act with integrity in all business situations, including the development of innovative artificial intelligence (AI) products and services. Workday has been named one of the World’s Most Ethical Companies for five years, by Ethisphere, a global leader in defining and advancing the standards of ethical business practice. The Responsible AI program sits within the Compliance and Integrity team within Workday’s Legal, Compliance, and Corporate Affairs organization for good reason – the mission of this program is to facilitate Workday’s ambition to develop innovative and trustworthy AI and ML products that delight customers and positively impact society. This is a purposeful, high visibility program with an ambitious agenda and executive support.

About the Role

This is an exciting opportunity to assist with the growth and maturation of a still new but rapidly growing program at Workday, Responsible AI. In order to keep up with the accelerating demand to deliver advanced and innovative AI products and technologies to our customers, we must scale our ability to govern Workday’s development of AI technologies. The Responsible AI data scientist role is focused on developing the analytic capabilities needed to effectively translate and implement policies, guidelines, and standards set by the Responsible AI team. This includes providing analytic support for the team’s fairness testing efforts, contributing to the development of customer-facing analytics capabilities, and building reporting tools and dashboards for the RAI team to track key program metrics and milestones.

This is a collaborative role as the Responsible AI team works closely with our ML engineers, product teams, and legal and privacy teams. The Responsible AI data scientist will be instrumental in providing the data-driven insights necessary to guide the ethical and responsible development of Workday's AI technologies. This role offers the opportunity to work at the intersection of data science, AI ethics, and product development, contributing critical analytical capabilities to support a company-wide commitment to Responsible AI.

 

Responsibilities

• Support the Responsible AI team’s fairness testing efforts for our higher-risk AI features, including data cleaning and exploration, statistical testing, and ad-hoc analyses. 

• Drive the development of a centralized platform for post-market monitoring of AI products, designing reporting tools and dashboards to track key milestones and metrics needed for audit and regulatory reporting. 

• Support the prototyping and development of customer-facing Responsible AI analytic tools and capabilities.

• Collaborate with the RAI Research Scientist to prototype analytic capabilities to evaluate emerging AI technologies like Generative and Agentic AI focused on topics such as LLM evaluations, red teaming, and safety.

• Contribute to the development of data and engineering pipelines to streamline Responsible AI evaluation for our higher risk AI applications. 

• Collaborate with Workday’s subject matter experts in the Responsible AI, Product, Legal, and Machine Learning organizations to support cross-team efforts.

About You

Basic Qualifications

• 4-year degree in a Computer Science, Engineering, Statistics, Mathematics, or relevant quantitative field

• 3+ years experience with a Bachelor's degree; or 2+ years with advanced degree, working in a data science, data analytics or data engineering role or function.  

• Experience working with programming languages such as Python, R, or Java

Other Qualifications

• Demonstrated hands-on experience with dashboarding and data visualization tools and libraries (e.g., Tableau, Power BI, Matplotlib, Seaborn) and machine learning algorithms, frameworks, and libraries (e.g., TensorFlow, PyTorch, scikit-learn

• Understanding of statistical analysis concepts and hypothesis testing

• Experience working in environments such as SageMaker, KubeFlow, or Databricks

• Familiarity with AI Ethics and Responsible AI concepts such as risk, fairness, transparency, algorithm monitoring and observability, etc.

• Strong collaboration skills with the ability and strong interest to work closely with product, technology, and legal team

• Familiarity with cloud services and architectures (e.g., AWS, Azure, Google Cloud)

• Demonstrated experience in implementing responsible AI practices, including fairness, transparency, ethics, and privacy in AI system

• Familiarity with current and emerging AI policies, regulations, and guidelines such as NIST AI Risk Management Framework and EU AI Act

• Strong critical thinking skills and respect for different perspectives with ability to communicate clearly about technical concepts and business implications

• Understanding that the perfect can be the enemy of the good and a desire to not make it so

• Growth mindset and drive to learn with an inclination to get things done

• Can-do attitude, patience when needed, and a good sense of humor! After all, one of Workday’s core values is Fun!

• Respect for different perspectives with ability to communicate clearly about technical concepts and business implications

Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!