Data Scientist

A great experience starts with you!Join our team to help create and develop the future of live entertainment and sports in Orange County!Once you've had a chance to explore our current open positions, apply to the ones you feel best suit you, as an applicant, you can always see your application status in your profile.Mission: To enrich the lives in our community through shared experiences, welcoming spaces, and responsible actions.Vision: We will be the social and entertainment center of Orange County – a place where the cultural kaleidoscope of the region converges and connects.  Our vibrant, rich collection of experiences will celebrate the diversity of our community.Values: Be Safe | Do the Right Thing | Be Generous | Include Everyone | Make it Easy | Be BoldJob Title:Data ScientistPay Details:The annual base salary range for this position in California is $100,000 to $140,000 per year. The starting pay for the successful candidate depends on various job-related factors, including but not limited to the candidate’s geographic location, job-related knowledge, skills, experience, education/training, internal value, peer equity, external market demands, and organizational considerations.The Data Scientist is responsible for owning the full analytical lifecycle, from problem definition and data extraction through modeling, experimentation, and stakeholder presentation. This role defines and tracks the metrics that measure business performance, designs experiments that produce defensible recommendations, and builds the Power BI dashboards business teams depend on daily, while partnering with cross-functional teams to translate business objectives into data problems and findings into decisions.ResponsibilitiesOwn the full analytical lifecycle, from problem definition and data extraction through modeling, visualization, and stakeholder presentationDefine, instrument, and track metrics that measure business initiative success and drive decision-making across the organizationDesign and execute experiments end-to-end, including hypothesis formation, test design, execution, and translation of results into clear, defensible recommendationsBuild and maintain Power BI dashboards that give business teams a trusted, self-serve view of performance dataDevelop and deploy analytical models, including regression, classification, forecasting, or clustering, in real-world production contextApply AI and LLM-powered tooling to accelerate data workflows and give business teams faster answers from complex dataPartner with cross-functional teams to translate business objectives into data problems and data findings into decisionsQualifications3–5 years of hands-on analytical experience delivering production-grade workAcademic background in hard science, such as physics, mathematics, computer science, engineering, or a related quantitative fieldProduction-grade Python and advanced SQL experience, with strong attention to performance, reproducibility, and main...