Workday

Data Scientist

Job description

Do what you love. Love what you do.


At Workday, we help the world’s largest organizations adapt to what’s next by bringing finance, HR, and planning into a single enterprise cloud. We work hard, and we’re serious about what we do. But we like to have fun, too. We put people first, celebrate diversity, drive innovation, and do good in the communities where we live and work.

About the Team

Do what you love. Love what you do.



At Workday, we help the world’s largest organizations adapt to what’s next by bringing finance, HR, and planning into a single enterprise cloud. We work hard, and we’re serious about what we do. But we like to have fun, too. We put people first, celebrate diversity, drive innovation, and do good in the communities where we live and work.

About the Team

Have you ever wondered what really makes people productive? Or what the triggers are that might make someone choose to leave their job?

We're using one of the largest employee engagement datasets in the world to solve mysteries like these. The insights we deliver help our customers run their businesses better, and ensure their employees are more satisfied, motivated and engaged. We're now looking for a Product Data Scientist to join our team and help support our growth.

For us, explanation is as important as prediction, and so we use a mixture of classical statistical modelling approaches and ground-breaking machine learning algorithms to understand how people feel abut their experience at work.

We use Python for our Science codebase, while the broader tech stack of Peakon centers around JavaScript, with Node.js on the server and React on the frontend. Our data lives in a PostgreSQL database, and we use R for data analysis.

We believe in a strong foundation and building things right from the beginning, making our value “Build for tomorrow, today” a guiding principle for the Engineering team.

We welcome your application even if you do not meet all of the criteria listed below, but are passionate about the opportunity of mastering this role. We know that skills are not static and growth is continuous, so we are happy to help you take your career to the next level together and are committed to your development at Peakon, a Workday company.

About the Role

We are looking for someone to join our expanding Commercial Data Science team within Peakon .

The perfect candidate will have a background in a quantitative or technical field, experience working with large data sets, and 3+ years experience in enabling data-driven decision making in a commercial environment. You are focused on results, a self-starter, and have demonstrated success in using analytics to help your customers maximise the value and strategic impact of their data in solving their business challenges. This full time position is based i n New York.

KEY RESPONSIBILITIES

  • Apply your expertise in statistical analysis, data mining, and the presentation of data to support our customers in maximising the impact of their employee data

  • Lead quantitative analysis projects from start to finish including all aspects of data analysis (e.g. processing, cleaning, verifying the integrity of data used for analysis, statistical analysis, visualizations) and communicating results effectively

  • Act as an expert on specific product features and their implications on data collection to support customer facing teams (i.e. Sales, Customer Success, Customer Support)

  • Support customer facing teams in servicing technical customer data queries that require Data Science support

  • Partner with Product and Engineering teams to solve problems and identify trends and opportunities as part of ongoing R&D

We are looking for a candidate who has a strong desire to work with our customers to solve their complex problems and help develop new solutions, often involving collaboration with different teams across the company. Necessary skills include competence with Python, SQL and R.

About You

The ideal candidate will at minimum have experience in the following areas:

  • 3+ years of experience working in a commercial environment with elements of consultancy in their role

  • Responsibility for scoping and delivering bespoke research projects to customers or internal stakeholders within specific timelines.

  • Experience communicating complex solutions to audiences with varied technical abilities and understanding

  • In-depth knowledge of statistics (e.g., hypothesis testing, regressions) with an Undergrad, Masters or PhD degree in Computer Science, Math, Physics, Engineering, Statistics or another technical field

  • Strong understanding of SQL

  • Intermediate knowledge of Python or R

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