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Senior Data Scientist at RightsHelper. 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.. 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 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.. Demonstrated excellence with statistical programming and development (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 efficiently identify and solve complex problems in a fast-paced, 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.. Company Location: United States.