Data Scientist, Global Products – Growth

Your Work Days Are Brighter Here

We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too.

About The Role

Are you a critical thinker who enjoys taking on the challenges presented by delivering enterprise applications at scale? As a Data Scientist for the Globalization team, you will have the opportunity to deliver insights to a wide range of internal teams at Workday. You will use your expertise in data understanding, problem statement generation, and analytics to develop prototypes, insights, and presentations that help craft the path forward for product development. You'll draw on your depth of experience to guide and mentor the teams regarding our data strategy, as well as guiding the strategic direction in the solutions we design and build.

Primary Responsibilities Of This Role:

• Put our customers first by working closely with Product Management to ensure we deliver solutions that contribute to our customers.
• Perform in-depth analytical analysis using your vast practical knowledge of statistics and machine learning that deliver insight the business can take action on.
• Iterate on analysis with other data scientists, product managers, and engineers to ensure the output is a result of partnership.
• Move data from disparate systems to provide the team with MVP prototypes.
• Present results to a wide variety of collaborators and advisors.
• Live the Workday core values daily.
• Display innovative & analytical thinking.
• Follow agile methodologies to drive continuous delivery.
• Learning and sharing what you've learnt with others.
• Collaborate well with your team and teams across Workday.
• Coach and mentor less experienced engineers.
• Actively identify areas of improvement and propose solutions.

About You

• Bachelors or higher degree in a computer related field or equivalent
• 5+ years of software development experience and 3+ years as a Data Scientist or similar role.
• Experience in programming languages like Python or Scala (including libraries like pandas).
• Experience working with data warehouses and querying data using SQL.
• Familiarity with Jupyter Notebooks for data exploration and analysis.
• Familiarity with modern developer tools & practices.
• Excellent ability to communicate complex problems and solutions to a diverse group of team members, both technical and non-technical.

Additional Qualifications

• A solid understanding of distributed system design and operation.
• Proficient at collaborating with teammates to design, maintain and improve sophisticated object-oriented and/or functional software
• Experience mentoring less experienced engineers.
• Appreciation for the value of diverse ideas in coming up with innovative solutions.
• Excellent verbal and written communication skills in English

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.