Your work days are brighter here.
At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.
About the Team
We are looking for a passionate Data Scientist to join our growing Analytics DS/ML team. Our team consists of 7 data scientists collaborating with over 90 software engineers, data analysts, product managers, site reliability engineers, and software development engineers in test, all based in the brand-new Masaryčka building in Prague. Additionally, we maintain close collaboration with the Workday Analytics team and the ML team based in Silicon Valley.About the Role
Join a team of 7+ fellow data scientists and collaborate with software engineers on the Analytical application
Collaborate with product management on projects such as improving our augmented analytics solution (Storyteller), developing ML projects, and integrating Large Language Models (LLMs) into our analytical solution
Analyze large datasets to identify trends, patterns, and actionable insights
Design, execute and document experiments to validate hypotheses and improve model performance
Engage in activities such as model development, evaluation, deployment, and continuous monitoring
Communicate results effectively to both technical and business stakeholders
Stories proprietary Storyteller software is the foundation of Workday’s Augmented Analytics platform
The platform delivers automated analyses of People, Finance, and any structured data to business users without a need for a human analyst
Our automated analyses are presented to users in easily consumable and narrative stories
We are team of 90+ software engineers, data analysts, PMs, SREs and SDETs sitting in brand-new Masarycka building
We are working closely with Workday Analytics team and ML team in Silicon Valley
About You
4+ years of programming experience (Python, R or Java)
4+ years experience in data science, machine learning, or a related field
1+ years of Python programming (pandas, scikit-learn, jupyter, etc.)
1+ years of experience in SQL and working with tabular data
Master's or greater degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline
Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure) and data engineering tools
Excellent problem-solving, critical thinking, and analytical skills
Previous experience working on complex technical problems and a track record of being able to identify and solve business problems using data-driven approaches
Ability to work collaboratively in a team environment
Proven record of strong communication and analytical skills on projects
Experience with enterprise architecture software design and contribution to a large-scale software
Experience with Large Language Models and/or generative AI models
Sounds interesting? Apply now!
Know anybody who might be interested? Refer this job!
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.
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!