Associate Data Scientist
$69,705–$109,200 year
On-siteLos Angeles, California, United States
EXPIREDLos Angeles, California, United StatesOn-siteFull Time$69,705–$109,200 yearEntry LevelDoctorate Or Professional DegreeEnterprise
Full TimeEntry LevelDoctorate Or Professional DegreeEnterprise
Job Summary
Support forecasting and predictive models for ticket sales, attendance, and marketing performance using statistical analysis and machine learning techniques. Analyze structured and unstructured datasets from ticketing systems, CRM platforms, and social media to identify trends, sentiment, and actionable insights for fan engagement. Build datasets, dashboards, and recurring reports to communicate analytical findings to stakeholders across analytics, finance, and operations teams.
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
- 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
Desired Qualifications
- 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
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