Associate Data Scientist

AEG; Los Angeles (CA); On-site; USD 69,705 - 109,200; Full time

Benefits offered by this job

Medical, dental and vision insurance

401k Plan with employer match

Paid holidays and vacation

Job summary

AEG is seeking an Associate Data Scientist in Los Angeles, California. The successful candidate will support analytics and machine learning initiatives, working with large datasets to gain insights for various teams.

Required qualifications include a BA/BS in a related field, strong SQL and Python skills, and experience in statistical analysis. A comprehensive benefits package and competitive salary range of $69,705 - $109,200 are offered.

Qualifications

• 1-2 years of experience in data science or related fields.
• Working knowledge of SQL for dataset analysis.
• Strong analytical and technical skills.

Responsibilities

• Support development of forecasting and predictive models.
• Analyze structured and unstructured datasets.
• Prepare dashboards and presentations for stakeholders.

Skills

Statistical analysis

Python programming

SQL querying

Data visualization

NLP and text analysis

Education

BA/BS Degree in Data Science or related field

Tools

Tableau

Power BI

Excel

Job description

Job Summary

The Associate Data Scientist supports analytics, forecasting, and machine learning initiatives across AEG Presents. This role assists with analyzing structured and unstructured data, developing reporting solutions, and identifying insights that support ticketing, marketing, finance, venue operations, and festival teams. The ideal candidate has strong analytical and technical skills, is comfortable working with large datasets, and is eager to grow within a fast-paced live entertainment environment.

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) Bachelor's degree in: Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Operations Research, Physics, or a related quantitative field
• 1‑2 years 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, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

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.