Data Scientist AI Platform

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

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. We are the central nervous system for usage data across the enterprise. By engineering seamless data ingestion pipelines pinpoint-accurate billing calculations and transparent customer-facing controls PCC empowers Workday to confidently launch flexible usage-based productslike Workday Agentsthat will drive the next generation of our global business growth.

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.

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 Workdays 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 challengesfrom 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.
- Substantial coding knowledge and experience in one or more languages: for example Python/Jupyter R SAS Scala Excel MATLAB SPSS C etc. Exposure to other programming languages such as Java Go is a plus.
- 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.

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. Recruiters can share more detail during the hiring process. Each candidates 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 Workdays comprehensive benefits please click here.

Primary Location:

Primary Location Base Pay Range: $130000 USD - $195000 USD

Additional US Location(s) Base Pay Range: $123500 USD - $219400 USD

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.

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 .

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