Senior Data Scientist

Company: RightsHelper

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-04-07

About this role

*Summary*

We are seeking a senior data scientist to lead our demand modeling and product advancement efforts. As an early RightsHelper hire, you would help oversee and develop key components of our industry-leading RightsHelper platform. The ideal candidate has experience building and maintaining accurate and interpretable models for pricing, forecasting, or marketing applications in a fast-paced, enterprise environment. Our platform provides a unique opportunity for senior data scientists to work closely with leading sports and live event organizations in developing innovative techniques and advancing their decision-making.

*Job Functions*

  • Develop (and improve upon) robust and extensible production demand modeling, sales forecasting, pricing, and ticket inventory optimization applications that successfully enable demand-based decision-making across sports and live event organizations.
  • Support junior Data Science team members in efficiently resolving complex issues that extend beyond existing documentation and guidance.
  • Perform model calibration processes for select partner organizations; this includes externally interacting with partner analytics leaders and successfully delivering on their specific priorities.
  • Improve internal and external RightsHelper modeling product documentation and internal process guidance.
  • Maintain and improve upon codebase with version control, collaboration, and general software development best practices.
  • Provide strategic input on product development, data collection, data architecture, front-end development, and general business strategy.
  • Help build a collaborative engineering culture focused on ownership and empathy for our customers.

### Requirements

*Required Experience*

  • Bachelor’s or Master’s Degree in Statistics, Economics, Mathematics, Operations Research, Computer Science, or a related field.
  • At least four years of experience in revenue (yield) management, data science, statistical analytics, machine lear...

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