About Job

CTC Undisclosed Job Location Canada Experience 0 - 3 yrs

Description

About the Team

Do you want to build an analytics platform that provides customer usage insights for Workday to deliver better, more targeted products and services? Do Do you want to build an analytics platform that provides customer usage insights for Workday to deliver better, more targeted products and services? Do you want to build an ML based feature uptake recommendation engine that enables our customers to maximize their value realization from Workday? Do you want to leverage the power of an extensive data set from over 9,500 customers and 265 million transactions per year? Do you want to be the foundational member of a team building an end to end adoption experience from the ground up with the latest technologies? Well, here is your chance to do all of those things as a key member of the Product Adoption team within Workday's extraordinary Product & Technology organization. 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 winning by delivering solutions that delight - but always find time for fun and to celebrate each other's successes in work and life.

About the Role

About the Role As a Data Scientist on the Product Adoption team, you will have the opportunity help build our Adoption Analytics application and 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. Product Adoption is deeply intertwined in everything we do at Workday from product design, to marketing campaigns, to sales strategy, etc. which requires a high level of cross functional partnership and exposure.

Responsibilities: Work with appropriate product managers to define requirements of proposed analyses.

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.

This position reports to the Manager of Product Management - Product Adoption.

About You

Basic Qualifications: Hands-on machine learning, advanced analytics, statistical modelling, and/or data science experience covering areas such as supervised/unsupervised learning, ensembles, time-series data analysis, forecasting modelling, neural networks, and NLP.

Ability to take ambiguous problem definitions or business problems and define incremental analytical approaches that deliver data-driven practical insights that influence strategic decision making and program development.

AWS stack (Redshift, Sagemaker), scripting languages (Python) and BI platforms (Tableau).

Experience simplifying and promoting sophisticated concepts across the business through both unstructured and structured conversations and presentations.