Sr. Data Scientist

Relha LLC; Atlanta (GA); Hybrid; USD 148,000 - 263,000; Full time

Job summary

Workday is seeking a Senior Data Scientist with a product- and customer-oriented approach to unlock data insights that tie to strategic execution. You will deliver adoption insights, evaluating whether features and AI agents deliver strategic value for business and customers.

You will partner across teams to source and analyze adoption data, resulting in strategy-aligned insights that scale Workday Customer Experience.

Qualifications

• 8+ years of experience with advanced analytics, statistical modeling, and/or data science.
• 8+ years experience simplifying complex technical concepts for diverse stakeholders.
• 6-8 years experience working autonomously in a highly matrixed, collaborative corporate environment.
• 5+ years experience enterprise BI platforms (e.g., Tableau, Sigma).
• Experience applying organizational change management principles.
• Experience working within an Agile/Scrum framework.
• Experience within the SaaS, cloud, or enterprise technology industries.
• Proven track record of moving seamlessly between high-level strategy and technical execution.
• Strong communication and data storytelling skills.
• Demonstrated experience designing, developing, and maintaining enterprise production-level data science-based products for business decision-making.
• Experience on AWS stack (Redshift, Sagemaker), scripting languages (Python and R).
• Degree in a quantitative field (Computer Science, Engineering, Statistics, Operations Research, Economics, or a related field) or equivalent practical experience.
• Understanding of product management fundamentals.

Responsibilities

• Serve as the P&T domain expert in product adoption analytics, providing technical and strategic thought leadership.
• Partner with key technical leaders and domain experts across Workday to map the data landscape, bringing transparency and data accessibility to key decision-makers.
• Design and influence enterprise-wide adoption analytics data connections, collaborating with data engineering teams on the design, scalability, and sustainability of associated pipelines.
• Translate complex data models into compelling narratives and data visualizations (including interactive dashboards and executive presentations) that drive organizational clarity.
• Provide guidance on data trends, governance, and use cases to stakeholders across all levels of the organization.
• Evangelize a customer-value-first approach to evaluating product health and adoption metrics.
• Forensic data investigation to identify root causes and translate technical findings into simple and focused conclusions.
• Leverage strong data ETL and data flow expertise to manage multi-step product telemetry and observability systems, ensuring data integrity.
• Demonstrate urgency and autonomy in problem-solving, proactively navigating cross-functional teams to identify and implement solutions for both known and emerging business challenges.

Skills

Advanced analytics

Data storytelling

Business mindset

Strong communication

Hypothesis-driven

problem solving

Education

Degree in quantitative field

Tools

Tableau

Sigma

AWS Redshift

Sagemaker

Python

R

Job description

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 Team

Workday stands at a pivotal point in its evolution and growth. As we accelerate our Enterprise AI Transformation we must focus with equal intensity on scaling our execution to enable a rapid speed of continuous innovation for our customers. The Product & Technology (P&T) Operations Analytics & Tools Team develops decision-ready internal products that turn complex organizational data into targeted leadership action. Our vision is to: Power the strategic intelligence that scales how P&T operates with alignment and speed.

About the Role

We're looking for a product- and customer-oriented Senior Data Scientist who is passionate about unlocking data insights that directly tie to strategic execution. In this role, you will be responsible for delivering Workday Product Adoption Insights, objectively evaluating whether the features and AI agents we build are truly delivering the strategic value intended for our business and customers.

To achieve this, you will partner closely with cross-functional teams to source and analyze adoption data from across the enterprise. The outcomes of your work will culminate in strategy-aligned insights, ensuring we scale our greatest accomplishments and continuously optimize the Workday Customer Experience.

Key Responsibilities

Serve as the P&T domain expert in product adoption analytics, providing technical and strategic thought leadership.

Partner with key technical leaders and domain experts across Workday to map the data landscape, bringing transparency and data accessibility to key decision-makers.

Design and influence enterprise-wide adoption analytics data connections, collaborating with data engineering teams on the design, scalability, and sustainability of associated pipelines.

Translate complex data models into compelling narratives and data visualizations (including interactive dashboards and executive presentations) that drive organizational clarity.

Provide guidance on data trends, governance, and use cases to stakeholders across all levels of the organization.

Evangelize a customer-value-first approach to evaluating product health and adoption metrics.

Forensic data investigation to identify root causes and translate technical findings into simple and focused conclusions.

Leverage strong data ETL and data flow expertise to manage multi-step product telemetry and observability systems, ensuring data integrity.

Demonstrate urgency and autonomy in problem-solving, proactively navigating cross-functional teams to identify and implement solutions for both known and emerging business challenges.

About You

You possess a deep interest in grasping the complex challenges that businesses face, and you are excited by solving problems. You have strong business acumen and are outcomes focused. Learning new tools and technologies motivates you. You embody the qualities of an insightful, thoughtful, and reliable teammate - and you expect the same of your teammates. You thrive in a fast-paced, tech start-up like environment where the best ideas win. “Think Like a Scientist” is ingrained in how you work - always hypothesizing, always experimenting, always learning.

Basic Qualifications

8+ years of experience with advanced analytics, statistical modeling, and/or data science

8+ years experience simplifying complex technical concepts for diverse stakeholders.

6-8 years experience working autonomously in a highly matrixed, collaborative corporate environment.

5+ years experience enterprise BI platforms (e.g.,Tableau, Sigma)

Other Qualifications:

Experience applying organizational change management principles

Experience working within an Agile/Scrum framework.

Experience within the SaaS, cloud, or enterprise technology industries

Proven track record of moving seamlessly between high-level strategy and technical execution

Strong communication and data storytelling skills

Demonstrated experience designing, developing, and maintaining enterprise production-level data science-based products for business decision-making

Experience on AWS stack (Redshift, Sagemaker), scripting languages (Python and R)

Degree in a quantitative field (Computer Science, Engineering, Statistics, Operations Research, Economics, or a related field) or equivalent practical experience.

Understanding of product management fundamentals

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role‑specific commission/bonus, as well as annual refresh stock grants. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits in Canada, please click here. For more information regarding Workday’s comprehensive benefits in the US, please click here.

Primary CAN Base Pay Range: $124,400 - $186,600 CAD

Additional US Location(s) Base Pay Range: $148,200 USD - $263,300 USD

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.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

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 [e-mail].