Data Science

Data Scientist

Who is Eventellect?

Through passion and industry expertise, Eventellect helps professional and collegiate sports and entertainment properties achieve their long-term strategic goals and grow total net ticket revenue. Our industry-leading technology capabilities and strategic solutions allow our partners to gain visibility, improve profitability, and maximize attendance.

We are a fast-growing company that is respected both in Houston (Houston Business Journal’s Best Places to Work 2017, 2018, & 2022) and nationally (INC 5000 list of fastest-growing companies 10 years in a row).

Title

Data Scientist

Reports to:

Senior Data Scientist

What are we looking for?

We are pioneering the future of fully automated, algorithmic inventory management for sports and concerts, leveraging data science to connect fans with their favorite events. As we expand our team, we're seeking a talented Data Scientist to drive impactful data-driven solutions that shape how tickets are priced, managed, and sold across major markets. As a Data Scientist, you’ll work closely with a collaborative team of data scientists, engineers, and industry experts to develop algorithms that respond dynamically to demand in real time. This role provides the opportunity to apply advanced statistical methods and machine learning techniques to solve real-world challenges in ticketing, bridging the gap between theory and impactful, customer-focused solutions. If you're ready to bring your expertise to a growing company, tackle challenging problems with cutting-edge methods, and be part of an innovative team at the intersection of sports and technology, we’d love to hear from you!

 

What would you do?

  • Work with cross-functional teams to translate business needs into solutions

  • Deliver robust, scalable solutions; nearly everybody on our team ships to prod on a regular basis

  • Independently explore, transform, and leverage data from varied sources

  • Build, test, tune, and optimize statistical and/or machine learning models

  • Define, measure, and track key performance indicators (KPIs) to quantify how well models and systems are performing

  • Communicate with internal and external stakeholders on how to interpret and interact with products and services for which you are responsible

  • Develop ancillary products, such as internal tools, visualizations, and dashboards, to support the effective use of models/services

 

What is required to succeed?

  • BA, BS, or MS in an analytical discipline (e.g., Math, Statistics, Operations Research, Computer Science, Economics)

  • 0-3 years of work experience

  • Excellent understanding of underlying statistical and machine learning principles and their impact on the quality and robustness of models

  • Experience with statistical forecasting

  • Experience programming with R and/or Python

  • Hands-on experience writing SQL queries to extract data from relational databases

  • Great problem solving and critical thinking skills

  • Flexible and willing to accept changes in priorities as necessary

 

Why work for Eventellect?

  • A fast-growing company that’s respected in Houston (Houston Business Journal’s Best Places to Work multiple years) and nationally (INC 5000 list of fastest-growing companies 10 years in a row)

  • A competitive salary plus bonus potential

  • A comprehensive benefits package, including 90% employee medical coverage, as well as dental and vision coverage, basic term life insurance and short-term disability coverage

  • 401K program including company match

  • Unlimited Paid Time Off (UPTO)

  • A $1,000 annual ticket budget to spend on sports and other live events around the country

  • Offsite company event

Location

This position will work primarily in the Houston office. We are a flexible, results-oriented team, and we support hybrid-remote work. Still, we strongly believe that your professional growth is best supported in an office setting, and most of our team is in the office at least 4 days per week.

Successful candidate must be authorized to work in the United States on a full-time basis without the need for sponsorship. 

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