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AEG · 6 hours ago

Sr Data Scientist- AXS

Los Angeles, CA

Full-time

Hybrid

Mid, Senior Level

$125K/yr - $140K/yr

1+ years exp

AXS is a subsidiary of AEG that connects fans with artists and teams they love through ticket sales for various events. The Senior Data Scientist will utilize statistical modeling and machine learning tools to support business initiatives, collaborating with a dynamic team to enhance pricing strategies and drive business outcomes.

Card and Board GamesLeisureSports

No H1B

Responsibilities

Machine Learning Modeling and Deployment - Contribute to the full data science lifecycle from model design, development, deploying/building data pipelines, and evaluating alignment with business goals

Business Strategy and Project Management - Translate requests and problems into frameworks for improving pricing strategy performance, driving value, and impacting business outcomes. Provide mentoring to junior data scientists and support the recruiting and hiring process for the data science team

Business Collaboration - Effectively collaborate with business partners to communicate findings, understand key pricing problems, and define strategic priorities

Technical Exploration and Research- Explore key development in data science and machine learning tools and algorithms. Identify needs, explore relevant data, and develop applicable tools to drive business decisions and strategy-making

Qualification

Machine LearningStatistical ModelingData Pipeline DevelopmentPricing StrategyRecommendation SystemsGitBusiness CollaborationTechnical ExplorationProject ManagementMentoring

Required

BS/MA/MS Degree (PhD preferred) in a Quantitative field such as Econometrics, Statistics, Operations Research, Machine Learning, Applied Mathematics, Computer Science, or related technical area

The experience level will vary based on the candidate's degree level

PhD Candidates: 1-2 years related experience, or

Master of Science Candidates: 2-4 years related experience; or

Bachelor of Science Candidates: 5+ years of related experience

Experience with applied statistical, machine learning modeling, recommendation systems, and deployment experience