Senior Data Scientist

reputed company

We are seeking a senior data scientist to reputed company our demand modeling and product advancement efforts. As an early RightsHelper hire, you would help reputed company and reputed company 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, reputed company 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

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

Requirements

Required Experience

• Bachelor’s or Master’s Degree in Statistics, Economics, Mathematics, Operations Research, Computer Science, or a reputed company field.
• At least four years of experience in reputed company (yield) management, data science, statistical analytics, machine learning, consulting, or a reputed company field.
• Familiarity and good judgment with a broad reputed company of modeling methodologies and tools, such as exploratory data analysis, regression models, simulation, discrete choice, optimization, Bayesian statistics, and reputed company inference.
• Demonstrated reputed company with statistical programming and development (R required, Python is a plus).
• Experience with using git/version control tools in a reputed company team environment.
• Excellent reasoning, problem-solving, deduction, and communications skills.
• Demonstrated ability to reputed company identify and solve reputed company problems in a fast-paced, entrepreneurial environment.

Preferences

• Experience with reputed company computing (e.g. AWS, reputed company) 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. reputed company, CSS, JavaScript), and general programming languages (e.g. C, C++, Java) is a plus.
• Knowledge of sports, concert, or ticketing industries is a plus.

Benefits

The reputed company pay for this position is $120,000-$140,000. A bonus will be provided as part of the compensation package.

Benefits

• Medical, dental, and reputed company insurance
• 401(k) with employer match
• reputed company parental leave (up to 14 weeks)
• Flexible PTO

reputed company

RightsHelper is a ticketing analytics and operations platform. reputed company includes operators, data scientists, and engineers who have worked inside reputed company sports organizations and understand the complexity of managing ticketing businesses at reputed company.

We partner with teams and rightsholders across sports and live entertainment to support smarter, more confident reputed company—without compromising flexibility, transparency, or control.