This job has been deleted
Data Scientist
RightsHelper • United States
Posted: April 7, 2026
Job Description
Summary
We are seeking a data scientist to be a leading contributor towards 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 executing 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 data scientists to work closely with leading sports and live event organizations in developing innovative techniques and advancing their decision-making.
Job Functions
- Perform model calibration processes for our partner organizations; this includes externally interacting with partner analytics leaders and internally documenting, standardizing, and improving these processes.
- Support partners in successfully delivering on their priorities, platform setup, and overall management of modeled deliverables.
- Collaborate with other Data Science team members to push root-level improvements across demand modeling, sales forecasting, pricing, and ticket inventory optimization applications.
- Maintain and improve upon codebase with version control, collaboration, and general software development best practices.
- Provide 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.
Required Experience
- Bachelor’s or Master’s Degree in Statistics, Economics, Mathematics, Operations Research, Computer Science, or a related field.
- At least two years of experience in revenue (yield) management, data science, statistical analytics, machine learning, consulting, or a related field.
- Familiarity and good judgment with a broad range of modeling methodologies and tools, such as exploratory data analysis, regression models, simulation, discrete choice, optimization, Bayesian statistics, and causal inference.
- Experience in mathematical and statistical programming (R required, Python is a plus).
- Experience with using git/version control tools in a collaborative team environment.
- Excellent reasoning, problem-solving, deduction, and communications skills.
- Demonstrated ability to meaningfully generate value in an entrepreneurial environment.
Preferences
- Experience with cloud computing (e.g. AWS, Docker) is a plus.
- Proficiency with SQL and relational databases is a plus.
- Knowledge of BI presentation tools and packages (e.g. R Shiny, Tableau, D3), web programming languages (e.g. HTML, CSS, JavaScript), and general programming languages (e.g. C, C++, Java) is a plus.
- Knowledge of sports, concert, or ticketing industries is a plus.
- Exhibited ability to excel in a fast-paced / startup environment is a plus.
Additional Content
Summary
We are seeking a data scientist to be a leading contributor towards 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 executing 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 data scientists to work closely with leading sports and live event organizations in developing innovative techniques and advancing their decision-making.
Job Functions
- Perform model calibration processes for our partner organizations; this includes externally interacting with partner analytics leaders and internally documenting, standardizing, and improving these processes.
- Support partners in successfully delivering on their priorities, platform setup, and overall management of modeled deliverables.
- Collaborate with other Data Science team members to push root-level improvements across demand modeling, sales forecasting, pricing, and ticket inventory optimization applications.
- Maintain and improve upon codebase with version control, collaboration, and general software development best practices.
- Provide 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.
Required Experience
- Bachelor’s or Master’s Degree in Statistics, Economics, Mathematics, Operations Research, Computer Science, or a related field.
- At least two years of experience in revenue (yield) management, data science, statistical analytics, machine learning, consulting, or a related field.
- Familiarity and good judgment with a broad range of modeling methodologies and tools, such as exploratory data analysis, regression models, simulation, discrete choice, optimization, Bayesian statistics, and causal inference.
- Experience in mathematical and statistical programming (R required, Python is a plus).
- Experience with using git/version control tools in a collaborative team environment.
- Excellent reasoning, problem-solving, deduction, and communications skills.
- Demonstrated ability to meaningfully generate value in an entrepreneurial environment.
Preferences
- Experience with cloud computing (e.g. AWS, Docker) is a plus.
- Proficiency with SQL and relational databases is a plus.
- Knowledge of BI presentation tools and packages (e.g. R Shiny, Tableau, D3), web programming languages (e.g. HTML, CSS, JavaScript), and general programming languages (e.g. C, C++, Java) is a plus.
- Knowledge of sports, concert, or ticketing industries is a plus.
- Exhibited ability to excel in a fast-paced / startup environment is a plus.