Data Scientist

WMT Digital

18d•Remote

About The Position

WMT Digital is a technology company that powers digital experiences, fan engagement, and data intelligence for sports, entertainment, and live events. We build flexible, scalable platforms that help organizations connect with their audiences across websites, mobile apps, identity, data, and insights, all within a single, integrated ecosystem. We value people who take initiative, think holistically, and follow problems through to real solutions. Our teams are curious, adaptable, and proactive. We are comfortable navigating complexity and motivated by simplifying it through thoughtful technology and data-driven decision making. We care deeply about our partners’ success and put their fans and users at the center of every decision. We take pride in anticipating what’s next and translating complex challenges into clear, practical solutions that work in the real world. We’re looking for an innovative data scientist with a passion for Math, Sports, and Computer Science. This person should be excited to solve complex problems by applying the combination of a deep mathematics background with intuition and the feedback of experts in the field. The successful data scientist at WMT will utilize strong problem-solving skills, significant programming experience, and business analytics to solve real-world dynamic pricing problems at scale. This role will be highly involved in the development of the core AI-driven pricing product and will be expected to make key business decisions on complex real-world problems. This position will interface with the subject matter experts and machine learning team to communicate business impacts of technical decisions. This is a math focused role. We are not looking for generative AI skills.

Requirements

A master’s, or PhD degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Engineering, Physics, etc.) or equivalent experience.
Minimum of four years’ experience using advanced mathematics and/or machine learning techniques to solve real-world problems.
Minimum of four years’ experience with data manipulation, analysis and visualizations in Python. Experience using data science and statistics libraries in Python. Pandas, matplotlib, and scikit-learn at minimum.
Minimum of four years’ experience with databases and software development.
Excellent verbal and written communication. Ability to present complex technical findings to a team of subject matter experts.

Responsibilities

Develop and improve pipelines for collecting, cleaning, processing, and analyzing client ticketing data for analysis and model building.
Build and improve scalable machine learning pipelines, feature engineering, etc.
Create innovative and clear data visualizations.
Reports back on findings and technical decisions to subject matter experts, stakeholders and clients.
Identify areas of improvement and new use cases of our pricing model.
Will show drive and initiative to push the core product and technology forward.
Collaborate with a cross-cutting team of executives, product managers, clients, software engineers, and data scientists.