Hiring: Director, Data Science Company: Sacramento Kings Location: Sacramento, CA Job Posted Time: 2026-09-12 12:31:21 Employment Type: Full-time Target Skills & Keywords : Data Pipeline, Data Warehouse, Machine Learning, Python, R, SQL About the job Experience: •8+ years of professional experience in data science, advanced analytics, business analytics, or a related quantitative field, with demonstrated experience using analytics to influence business decisions. •3+ years of experience leading, managing, or mentoring analysts or data science professionals preferred. Required Skills: •Lead the development and execution of analytical strategies supporting ticketing revenue, including single-game dynamic pricing, season and plan pricing, inventory management, sell-through analysis, and revenue forecasting. •Develop analytical models and decision-support tools that identify pricing and inventory opportunities and provide actionable recommendations to Ticket Sales, Ticket Operations, Marketing, and organizational leadership. •Build, maintain, and enhance predictive and statistical models related to customer behavior, including areas such as retention, purchase propensity, demand forecasting, customer segmentation, and revenue optimization. •Conduct scenario analysis and ad-hoc analytical work to support time-sensitive business decisions and identify emerging revenue opportunities. •Develop automated solutions that improve the speed, accuracy, and scalability of recurring business processes, including ticket pricing, price code creation, inventory analysis, reporting, and other analytical workflows. •Design and maintain data pipelines that integrate business data from ticketing, retail, food & beverage, digital, and other third-party platforms into the organization's data environment. •Partner with internal technology resources and external data partners to ensure data used for analytics is accurate, timely, accessible, and appropriately structured. •Develop dashboards, reporting tools, and analytical frameworks that enable stakeholders to monitor performance, understand key business drivers, and make informed decisions. Qualifications: •Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Operations Research, Engineering, or another quantitative field; advanced degree preferred. •Proficiency in SQL as well as Python and/or R, with demonstrated experience developing production-quality analytical models, automated workflows, and data solutions. •In-depth knowledge of statistical modeling, forecasting, optimization, experimentation, and machine learning techniques, with the ability to select methodologies appropriate to the business problem. •In-depth knowledge of analytical development practices, including model validation, documentation, reproducibility, version control, and code quality. •Strong business acumen and curiosity, with the ability to understand business problems before determining the appropriate analytical solution. •Demonstrated capacity to manage multiple priorities and balance longer-term analytical development with time-sensitive business needs. •Operational familiarity with Ticketmaster Archtics/Host or other ticketing platforms preferred. Compensation: •$110,000 - $140,000 / year •Base Salary Range: $110,000–$140,000, plus eligibility for an annual discretionary bonus Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!