Senior Data Scientist

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 TeamHave you heard about Workday?Workday is one of the fastest growing enterprise SaaS companies for Finance, HR, and Planning, having grown from a start-up to 15,000 people, $5.10 billion annual revenue with a user base of over 60 million total users across 9,500 organizations worldwide.Key to this exciting momentum has been our focus on culture and putting our people at the center of everything we do. This means building a workplace where people feel valued, heard, inspired, and like they belong. This culture and our constant aim to build for the future, has allowed us to continue our ground-breaking growth both globally and within the Czech market.Our Czech team is working with incredibly relevant (AI/ML/Analytics-based) technology which identifies, surfaces, and explains key insights to customers. From Churchill Square in Prague, Workday continues to build the future of BI and ML for over 7,900 customers including Amazon, Airbnb, Atlassian, Adobe, Airbus, and that’s just the ones starting with “A”.Enjoy the market leading benefits (stock grants, extended PTOs and leave types) and the stability of a growing global company alongside an agile local office culture working with some of the smartest people in the industry who are pioneering the tech behind our future analytics platforms.This is your chance to be the foundation of future teams and become part of the Workday Analytics story.About the RoleAs a Senior Data Scientist, you will:Daily contribute to projects that our Data Science team works on - currently mainly integrating Large Language Models (LLM) into our analytical solution and improvements of our augmented analytics solution - Storyteller. The work includes standard activities like model development, model evaluation, deployment, and continuous monitoring.Drive the direction of Data Science team development.Provide guidance and mentorship to junior data scientists.Contribute/lead the data science team's strategy and goals.Work with a team of 8+ fellow software engineers and data scientists.Product & Team: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.In the Prague office, we are a team of 80+ software engineers, data analysts, PMs, SREs, and SDETs sitting at Churchill Square.The Data Science team consists of 10 data scientists and Python developers working on various projects, from product analytics, resource optimization allocation, and augmented analytics to Large Language Models (LLM).We are working closely with the Workday Analytics team in Silicon Valley. About YouBasic Qualifications:5+ years of programming experience in Java, Python, or R. 2+ years of Python programming (pandas, scikit-learn, jupyter, etc.) and SQL experience1+ years of proven experience in leading and mentoring junior data scientists. Other Qualifications (nice to have):A BS in a Data Science relevant field with 4+ years of experience or an MS in a Data Science relevant field with 2+ years of experienceAbility to work collaboratively in a team environment.Previous experience working on complex technical problems and a track record of being able to identify and solve business problems using data-driven approaches.Proven record of strong communication and analytical skills on real projectsExperience with enterprise architecture software design and contribution to a large-scale software Experience with Large Language Models and/or generative AI modelsExperience with Scala is beneficial.What you will learn:Practical experience in integrating Large Language Models into an enterprise product grade solution, how to test it, and how to operate it.Inner workings, ideas, and concepts behind leading Augmented Analytics softwareHow to drive Data Science team strategyPractical experience in mentoring Junior Data Scientists to contribute to the team strategy 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!