Data Scientist

fulltime
Expired

Employment Information

The position you were interested in has been filled or expired, but we invite you to explore other exciting job openings on our platform to find your next career opportunity.

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.

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 Role

As a Data Scientist, you will:

  • 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

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
  • 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

Basic Qualifications:

  • 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

Other Qualifications (nice to have):

  • 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!

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