Data Scientist

Data Scientist

Pay 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.

Job Description:

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.

• 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.

• 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.

Education: Bachelor's Degree.

Experience

Required:

3–5 Years. This position is on‑site.

OC Sports & Entertainment, LLC.

We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, medical condition or any protected category prohibited by local, state or federal laws.

We are firm believers that diversity and inclusion among our team members are critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.