Data Scientist

Anaheim Ducks • Anaheim, CA

5d • $100,000 - $140,000 • Onsite

About The Position

Join our team to help create and develop the future of live entertainment and sports in Orange County! 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.

Requirements

• 3–5 years of hands-on analytical experience delivering production-grade work
• Academic background in hard science, such as physics, mathematics, computer science, engineering, or a related quantitative field
• Production-grade Python and advanced SQL experience, with strong attention to performance, reproducibility, and maintainable code
• Practical experience applying statistics, including building and validating models, diagnosing failures, and explaining results to non-technical stakeholders without losing rigor
• Hands-on experience with Power BI or equivalent tools, including dashboards others depend on daily, not proof-of-concepts
• Demonstrated AI fluency, including experience building something with LLMs or generative AI in a real context, not just following a tutorial
• Strong written and verbal communication skills, with the ability to present complex findings clearly to any audience
• AI-native mindset, with experience using AI-assisted tooling as a genuine productivity multiplier, not a novelty
• Bachelor's Degree
• 3-5 Years Experience

Responsibilities

• Own the full analytical lifecycle, from problem definition and data extraction through modeling, visualization, and stakeholder presentation
• Define, instrument, and track metrics that measure business initiative success and drive decision-making across the organization
• Design and execute experiments end-to-end, including hypothesis formation, test design, execution, and translation of results into clear, defensible recommendations
• Build and maintain Power BI dashboards that give business teams a trusted, self-serve view of performance data
• Develop and deploy analytical models, including regression, classification, forecasting, or clustering, in real-world production context
• Apply AI and LLM-powered tooling to accelerate data workflows and give business teams faster answers from complex data
• Partner with cross-functional teams to translate business objectives into data problems and data findings into decisions

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level