Senior Data Scientist
Ireland, Dublin
Workday
Workday Enterprise Management Cloud gives organizations of all sizes the power to adapt through finance, HR, planning, spend management, and analytics applications. Move beyond ERP and deliver extraordinary results in a changing world. Learn...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
Interested in working with us teams to help build the next generation of enterprise tooling to make the adoption of Workday features as quick and easy as possible for our customers and implementation partners? Do you want to leverage the power of an extensive data set from over 9,500 customers and 265 million transactions per year?In Customer Deployment Tools our mission is to enable customers to seamlessly adopt Workday products and transform their business functions. We design and build a suite of products to help implementers as well as customers configure Workday solutions (HCM, Financials, etc) and load customer data. Our products make Workday solutions easy to discover, deploy and love. As part of CDT, you will collaborate with many Workday teams and will help complete Workday's growth strategy to ultimately support our customers' business growth in a constantly evolving world.
We are passionate about innovation and not only demonstrate this in our technology and tools, but also in how we work together. We are passionate about delivering solutions that delight - but always find time for fun and to celebrate each other's successes in work and life.
About the Role
Are you a critical thinker who enjoys taking on the challenges presented by data migrations across distributed systems?
Would you like to help build the next generation of enterprise tooling to make the adoption of Workday features as quick and easy as possible for our customers and implementation partners?
As a Data Scientist for the Customer Deployment Tools team, you will have the opportunity to deliver insights to a wide range of internal teams at Workday. You will use your expertise in data understanding, problem statement generation, and analytics to develop prototypes, insights, and presentations that help craft the path forward for product development.
You’ll draw on your depth of experience to guide and mentor the teams regarding our data strategy, as well as guiding the strategic direction in the solutions we design and build.
You’ll be joining a team which is always aspiring to improve their ways of working and development processes to increase our efficiency, security and quality of releases. You’ll be using your unique experiences and skills to contribute to the team’s success in delivering high value, high quality software to our customers.
What you will do:
- Put our customers first by working closely with Product Management to ensure we deliver solutions that contribute to our customers.
- Perform in-depth analytical analysis using your vast practical knowledge of statistics and machine learning that deliver insight the business can take action on.
- Iterate on analysis with other data scientists, product managers, and engineers to ensure the output is a result of partnership.
- Move data from disparate systems to provide the team with MVP prototypes.
- Present results to a wide variety of collaborators and advisors.
- Live the Workday core values daily.
- Display innovative & analytical thinking.
- Follow agile methodologies to drive continuous delivery.
- Learning and sharing what you've learnt with others.
- Collaborate well with your team and teams across Workday.
- Coach and mentor less experienced engineers.
- Actively identify areas of improvement and propose solutions.
What we hope you have:
A solid understanding of distributed system design and operation.
Proficient at collaborating with teammates to design, maintain and improve sophisticated object-oriented and/or functional software
Experience mentoring less experienced engineers.
Appreciation for the value of diverse ideas in coming up with innovative solutions.
What you will learn:
How to build and maintain distributed systems at an enterprise scale.
Using Kanban methodologies to develop software.
About You
- Bachelors or higher degree in a computer related field or equivalent
- 5+ years of software development experience and 3+ years as a Data Scientist or similar role.
- Experience in programming languages like Python or Scala (including libraries like pandas).
- Experience working with data warehouses and querying data using SQL.
- Familiarity with Jupyter Notebooks for data exploration and analysis.
- Familiarity with modern developer tools & practices.
- Excellent ability to communicate complex problems and solutions to a diverse group of team members, both technical and non-technical.
- Experience with CI/CD pipelines and automation.
- Experience with BDD/TDD and QA automation.
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!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile CI/CD Data strategy Distributed Systems Jupyter Kanban Machine Learning MVP Pandas Pipelines Python Scala Security SQL Statistics TDD
Perks/benefits: Career development Flex hours Home office stipend
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