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About the Role

As a Data Scientist, you will 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 role involves machine learning (ML) modeling, management, problem analysis, data exploration and preparation, data collection and integration, and operationalization. This is a ground-floor opportunity with enterprise impact, offering the chance to shape how Workday monetizes its products and tackle complex, high-stakes engineering and product challenges at a massive technical scale within a "startup within a giant" culture.

Responsibilities

Lead cross-functional data science efforts
Understand business requirements
Design, build, and implement innovative solutions
Enhance statistical modeling
Measure value delivery
Inform product decisions
Machine learning (ML) modeling, management and problem analysis
Data exploration and preparation
Data collection and integration
Operationalization

Requirements

5+ years of hands-on experience in Data Analysis and visualization
5+ years of experience programming in Python, R, and SQL
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.
Substantial coding knowledge and experience in one or more languages: for example, Python/Jupyter, R, SAS, Scala, Excel, MATLAB, SPSS, C++
Strong experience with popular database programming languages including SQL, PL/SQL for relational databases is required
Exposure to non-relational databases such as NoSQL/Hadoop-oriented databases such as MongoDB, Cassandra, others is a plus
Experience with distributed data/computing tools: MapReduce, Hadoop, Hive, Kafka is a plus
Knowledge of SaaS business preferred
Experience in the B2B software industry is preferred
Degree in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field is preferred or equivalent on-the-job experience
Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable
Experience in more than one area is strongly preferred

Skills

Data Analysis
Data visualization
Python
R
SQL
Machine Learning
Data Science
Amazon SageMaker
RapidMiner
Alteryx
H2O
TensorFlow
Propensity to buy analysis
Segmentation
Next-likely purchase/tactic analysis
Time series forecasting
Churn and retention analysis
Text analytics
Statistical techniques
Data mining techniques
Generalized linear model (GLM)/regression
Random forest
Boosting
Trees
Text mining
Hierarchical clustering
Deep learning
SAS
Scala
Excel
MATLAB
SPSS
C++
Java
Go
PL/SQL
NoSQL
Hadoop
MongoDB
Cassandra
MapReduce
Hive
Kafka

Location

USA.GA.Atlanta

Work Type

Hybrid

Experience Level

5+ years

Education Level

Degree in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field or equivalent on-the-job experience
Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable

Salary/Compensations

$130,000 USD - $195,000 USD
$123,500 USD - $219,400 USD

Benefits

Workday Bonus Plan or a role-specific commission/bonus
Annual refresh stock grants
Comprehensive benefits

About the Company

Workday is a Fortune 500 company and a leading AI platform for managing people, money, and agents.
We are shaping the future of work so teams can reach their potential and focus on what matters most.
Our culture is rooted in integrity, empathy, and shared enthusiasm.
We tackle big challenges with bold ideas and genuine care.
We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive.
The Platform Consumption Console (PCC) team is building the critical infrastructure to support Workday's strategic evolution toward a consumption-based pricing model.
PCC is the central nervous system for usage data across the enterprise.
PCC engineers seamless data ingestion pipelines, pinpoint-accurate billing calculations, and transparent customer-facing controls.
PCC empowers Workday to confidently launch flexible, usage-based products that will drive the next generation of our global business growth.

Equal Opportunity

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.
Workday is 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 accommodations@workday.com.