Data Scientist

Company: Workday
Company: Workday
Location: Czech Republic, Prague
Commitment: Full Time
Posted on: 2024-07-23 05:01
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 TeamWe 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.Our mission is to leverage AI, ML, and LLM technologies to develop a People Analytics product that revolutionizes business intelligence and augmented analytics. At the core of our offering is the proprietary Storyteller software, which powers Workday’s Augmented Analytics platform. This platform provides automated analyses of people, finance, and other structured data directly to business users, eliminating the need for a human analyst. Our automated analyses are presented in easy-to-understand, narrative stories. Additionally, we maintain close collaboration with the Workday Analytics team and the ML team based in Silicon Valley.About the RoleAs a Data Scientist, you will:Join a team of 7+ fellow data scientists and collaborate with software engineers on the Analytical applicationCollaborate 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 solutionAnalyze large datasets to identify trends, patterns, and actionable insightsDesign, execute and document experiments to validate hypotheses and improve model performanceEngage in activities such as model development, evaluation, deployment, and continuous monitoringCommunicate results effectively to both technical and business stakeholdersProduct & Team:Stories proprietary Storyteller software is the foundation of Workday’s Augmented Analytics platformThe platform delivers automated analyses of People, Finance, and any structured data to business users without a need for a human analystOur automated analyses are presented to users in easily consumable and narrative storiesWe are team of 90+ software engineers, data analysts, PMs, SREs and SDETs sitting in brand-new Masarycka buildingWe are working closely with Workday Analytics team and ML team in Silicon ValleyAbout YouBasic Qualifications:4+ years of programming experience (Python, R or Java)4+ years experience in data science, machine learning, or a related field1+ years of Python programming (pandas, scikit-learn, jupyter, etc.)1+ years of experience in SQL and working with tabular dataOther Qualifications (nice to have):Master's or greater degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related disciplineFamiliarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure) and data engineering toolsExcellent problem-solving, critical thinking, and analytical skillsPrevious experience working on complex technical problems and a track record of being able to identify and solve business problems using data-driven approachesAbility to work collaboratively in a team environmentProven record of strong communication and analytical skills on projectsExperience with enterprise architecture software design and contribution to a large-scale softwareExperience with Large Language Models and/or generative AI modelsSounds 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!
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