Sr Data Scientist at AXS

Los Angeles, California, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

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
Experience with applied statistical, machine learning modeling, recommendation systems, and deployment experience
1-2 years related experience with a PhD
2-4 years related experience with a Master of Science
5+ years of related experience with a Bachelor of Science
Experience on pricing strategy and revenue management (Bonus)
Experience with Git, bash/UNIX scripting (Bonus)

Responsibilities

Contribute to the full data science lifecycle from model design, development, deploying/building data pipelines, and evaluating alignment with business goals
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
Effectively collaborate with business partners to communicate findings, understand key pricing problems, and define strategic priorities
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

Skills

AXS

Global ticketing platform for events and analytics

About AXS

AXS is a global ticketing platform that utilizes integrated technology and analytics to power primary and resale marketplaces, offering best-in-class ticketing, marketing, and data technology for various events, from music clubs to major sporting events.

Los Angeles, CaliforniaHeadquarters

2011Year Founded

VENTURE_UNKNOWNCompany Stage

Consulting, Consumer Software, AI & Machine Learning, Consumer GoodsIndustries

201-500Employees

Benefits

Professional Development Budget

Risks

Increased competition from emerging ticketing platforms could erode AXS's market share.

Consumer backlash against high service fees may lead to regulatory scrutiny.

Economic downturns may reduce consumer spending on live events, affecting AXS's revenue.

Differentiation

AXS integrates AI-driven analytics for enhanced ticket sales forecasting and customer insights.

AXS adopts blockchain technology for secure and transparent ticket transactions.

AXS expands virtual and hybrid event ticketing solutions for remote audiences.

Upsides

AXS partners with Lyft to offer transportation options at live events.

AXS launches Apple Wallet tickets at Red Rocks Amphitheatre, enhancing user convenience.

AXS acquires majority stake in WRSTBND to boost its global platform.

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