Data Scientist - AI Platform

Workday; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Workday is seeking a Data Scientist to lead cross-functional data science efforts, translating business needs into analytics that guide product decisions and value delivery.

You will drive ML modeling, data exploration, and deployment, shaping ingestion pipelines and dashboards for enterprise customers while scaling the Platform Consumption Console. This is a high-impact role in a fast-moving, collaborative team.

Qualifications

• 5+ years of hands-on experience in data analysis and visualization.
• 5+ years of programming experience in Python, R, and SQL.
• Experience with ML frameworks and tools listed in qualifications.

Responsibilities

• Lead cross-functional data science efforts to understand requirements and design solutions.
• Build and implement ML models for product decisions and value measurement.
• Develop dashboards and data pipelines to support enterprise analytics.

Skills

Data analysis

Data visualization

Python

R

SQL

Statistical modeling

Time series forecasting

Churn analysis

Tools

SageMaker

TensorFlow

RapidMiner

Alteryx

H2O

Job description

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.

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 Team

As Workday accelerates its strategic evolution toward a consumption-based pricing model, the Platform Consumption Console (PCC) team is building the critical infrastructure to make it happen. By engineering seamless data ingestion pipelines, pinpoint-accurate billing calculations, and transparent customer-facing controls, PCC empowers Workday to confidently launch flexible, usage-based products—like Workday Agents that will drive the next generation of our global business growth.

About The Role

As a Data Scientist, you'll 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.

The bulk of the work will be in machine learning (ML) modeling, management and problem analysis, data exploration and preparation, data collection and integration and operationalization.

Ground-Floor Enterprise Impact: You are joining at a pivotal inflection point. PCC is rapidly transitioning from a localized billing tool into a core piece of Workday’s enterprise infrastructure. The work you do here will directly shape how Workday monetizes its products for years to come.

Massive Technical Scale: This is not a maintenance role. You will tackle complex, high-stakes engineering and product challenges—from orchestrating the ingestion of massive daily usage metrics and ensuring zero-defect financial ledgers, to building intuitive, high-visibility dashboards for our enterprise customers.

A "Startup Within a Giant" Culture: We are transitioning to a highly focused, domain-driven platform model. For builders who want to define strategy, establish new technical standards, and see the immediate impact of their work, this is the place to be.

About You

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:

• Machine Learning and Data Science Knowledge/Skills
• Substantial experience in one or more of the following commercial/open-source ML framework/tools: Amazon SageMaker, Python/R, RapidMiner, Alteryx, H2O, TensorFlow.
• Substantial expertise in solving propensity to buy, segmentation, next-likely purchase/tactic, time series forecasting, churn and retention analysis, text analytics problems is preferable.
• Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, etc.