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Associate Data Scientist
- Los Angeles, California, United States
- Los Angeles, California, United States
About
Essential Functions
Support the development and maintenance of forecasting and predictive models related to ticket sales, attendance, marketing performance, and other business metrics to support data‑driven decision‑making.
Apply statistical analysis and basic machine learning techniques to support forecasting, reporting, and analytical projects.
Assist with NLP and text analysis projects involving customer feedback, surveys, and social media content to identify sentiment and recurring themes.
Assist with customer segmentation, behavioral analysis, and audience targeting initiatives to support marketing effectiveness and fan engagement strategies.
Analyze structured and unstructured datasets from ticketing systems, marketing platforms, surveys, CRM systems, web activity, and event operations to identify trends and actionable insights.
Build and maintain datasets, dashboards, workflows, and recurring reports to support analytics initiatives and business operations.
Prepare dashboards, presentations, and summaries that communicate analytical findings and recommendations to internal stakeholders.
Required Qualifications
BA/BS Degree (4‑year) in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Operations Research, Physics, or a related quantitative field.
1‑2 years of experience in Data Science, Advanced Analytics, Machine Learning, Business Intelligence, or a related quantitative field.
Working knowledge of SQL with the ability to query, join, clean, and analyze structured datasets.
Working knowledge of Python or similar programming language for data analysis, reporting, statistical analysis, and basic machine learning workflows.
Understanding of foundational statistical and analytical concepts including regression, classification, clustering, forecasting, and segmentation techniques.
Familiarity with data preparation, feature engineering, model validation, and data quality review processes.
Exposure to NLP and text analysis concepts such as sentiment analysis, topic modeling, text preprocessing, and summarization preferred.
Ability to analyze data and identify trends, patterns, and actionable business insights.
Experience creating reports, dashboards, or data visualizations using tools such as Tableau, Looker, Power BI, Excel, or similar platforms preferred.
Familiarity with ticketing, marketing, CRM, customer engagement, digital analytics, or event‑related datasets preferred.
Strong organizational skills with the ability to manage multiple assignments and priorities in a fast‑paced environment.
Strong written and verbal communication skills with the ability to present analytical findings clearly to technical and non‑technical stakeholders.
Ability to work collaboratively across analytics, marketing, finance, operations, engineering, and business teams.
Strong attention to detail and commitment to data accuracy, consistency, and documentation.
Eagerness to learn new analytical tools, technologies, and business processes within a live entertainment environment.
Payscale $69,705 - $109,200
Bonus This position is not eligible for a bonus under the current bonus plan requirements.
Benefits We offer a comprehensive benefits package that includes medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401(k) Plan with a current employer match of 3%, flexible spending and health savings account options, and wellness offerings.
Legal and Employment Information AEG reserves the right to change or modify the employee's job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description.
AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.
Employer does not offer work visa sponsorship for this position.
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Languages
- English
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