Data Scientist

Your work days are brighter here.

Were 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 were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll 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. Were 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 youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well 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 youve found a match in Workday and we hope to be a match for you too.

About the Team

About the Role

As a Data Scientist youll lead cross-functional data science efforts to understand business requirements and design build and implement innovative solutions that enhance statistical modeling measure value delivery and inform product decisions.

As part of a team that provides technical leadership for Workdays flagship HCM and Workforce Products this role will evangelize the use of data the measurement and analysis of user behaviors to inform product this role you are expected to excavate the value that our customers derive from using our products and reconstruct the user journey through Workday application from the data residing in different locations and different formats.

This role will interact with a range of Product Stakeholder and Technical Leaders and will serve as a domain authority on how we can effectively use data to inform product decisions and overall strategy.

Primary Responsibilities:

• Build a data backed story to increase awareness of what factors drive business impact and product adoption across different customer segments and geo-graphical regions.

• Build and run multiple business scenarios to assist with product/SKU level revenue projections and growth including the risk factors.

• Audit and propose value realization metrics for our Flagship products.

• Solicit stakeholder feedback in prioritizing metrics and visualization dashboards.

• Lead value metrics projects and communicate with a wide audience of partners.

• Formulate design and run experiments to validate product hypotheses and suggest how we can improve feature adoption and value realization

• Analyze and explore data to identify relationships patterns trends risks and opportunities.

• Create dashboards and other data visualizations to assist in decision making.

• Educate business teams on data science principles and techniques including effective forms of data visualization.

• Prioritize tasks to improve productivity and ensure timely results.

• Collaborate with cross-functional teams to engineer workarounds and navigate project challenges.

About You

The ideal candidate is a professional whos more than a technical authority - you are a problem-solver collaborator and meaningfully a self-motivated leader. You bring a strong business mentality that enables you to link data sources with product narratives. You have a curious and creative mind always seeking new ways to approach and address sophisticated data problems. You are adaptable and flexible able to work with different teams and technologies to deliver results. You communicate clearly and effectively sharing your findings and insights with others in a way thats understandable and practical.

Basic Qualifications:

• 5 years of hands-on experience in Data Analysis and visualization.

• 5 years of experience programming in Python R and SQL

Other Qualifications:

• Expertise in statistics and statistical concepts including regression analysis hypothesis testing and statistical inference.

• Proficiency in machine learning techniques such as dimensionality reduction resampling ensemble learning anomaly detection feature scaling and feature selection.

• Proficiency in data visualization tools such as Matplotlib Seaborn or similar.

• Experience writing sophisticated SQL queries and ETL processes with Spark/Trino including for data extraction transformation and loading into a data lake.

• A natural curiosity and willingness to stay updated with the latest technologies and methodologies in the field.

• Ability to design and conduct data driven experiments.

• Understanding of software development life cycle and artifacts required for different phases and stage gates.

• Excellent project management and communication skills to present insights and recommendations to partners.

• Ability to explain sophisticated technical concepts to non-technical people.

• Experienced in applying concepts/philosophies for appropriate problem-solving and decision-making.

• Consistent record of collaboration with team members.

• Excellent interpersonal abilities.

• Driven to make a positive difference with the team and with the company.

Our Approach to Flexible Work

With Flex Work were 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 youll 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.

At Workday we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point please email .

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