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Data Scientist at RightsHelper. 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.. Company Location: United States.