🛠 Tech Stack

💼 About This Role

You'll join the LA Kings to drive dynamic pricing strategy using statistical modeling and machine learning, maximizing revenue across ticketing products. You'll collaborate with cross-functional teams to deploy scalable data science tooling.

🎯 What You'll Do

• Implement and manage dynamic pricing mechanisms for ticket prices.
• Utilize models to identify pricing trends and forecast revenue.
• Manage end-to-end data science lifecycle from design to maintenance.
• Build and maintain SQL-based views for reporting and data integrity.

📋 Requirements

• Bachelor's degree in quantitative field (math, engineering, physics, etc.)
• 2+ years experience as data scientist or analyst
• Expertise in SQL, Python, and Spark
• Experience with MLOps platforms like Databricks or Azure ML

✨ Nice to Have

• Master's degree in data science or related field
• Experience developing dynamic pricing models
• Interest in sports or live entertainment

🎁 Benefits & Perks

• 🩺 Medical, dental, and vision insurance
• 🗓️ Paid holidays, vacation, and sick time
• 💰 401k with 3% employer match
• 👶 Parental leave
• 🧘 Wellness offerings

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min