Data Scientist - AI Platform

Latinx in AI (LXAI); Atlanta (GA); Hybrid; USD 130,000 - 195,000; Full time

Job summary

Latinx in AI (LXAI) is seeking a skilled Data Scientist based in Atlanta, Georgia. This role involves leading data science efforts and implementing innovative solutions to enhance statistical modeling and inform product decisions.

The ideal candidate will have over 5 years of experience in data analysis, programming in Python and SQL, and knowledge of machine learning techniques. Join us to shape the future of our data-driven products!

Qualifications

• 5+ years of hands-on experience in Data Analysis and visualization.
• Strong experience with programming in Python, R, and SQL.
• Knowledge in Machine Learning and Data Science.

Responsibilities

• Lead cross-functional data science efforts and implement innovative solutions.
• Enhance statistical modeling and measure value delivery.
• Build intuitive, high-visibility dashboards for enterprise customers.

Skills

Data Analysis and visualization

Programming in Python

Programming in R

Programming in SQL

Education

Degree in computer science, data science, operations research, statistics, applied mathematics

Tools

Amazon SageMaker

TensorFlow

Hadoop

SQL

NoSQL

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.

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 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.
• 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 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, please click here.

Primary Location: USA.GA.Atlanta

Primary Location Base Pay Range: $130,000 USD - $195,000 USD

Additional US Location(s) Base Pay Range: $123,500 USD - $219,400 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].