Location
Pennsylvania, United States
Salary
Not specified
Type
fulltime
Posted
Today
via linkedin
Job Description
We're hiring on behalf of a Haystack partner!
The Role
- Analyze consumer behavior and purchasing data to identify key customer segments and present insights using statistical methods and visualizations.
- Evaluate operational performance by integrating data from various systems to identify inefficiencies and recommend improvements.
- Conduct ad-hoc analyses to assess the effectiveness of short-term strategies and collaborate with cross-functional teams.
- Support the development of automated reporting workflows for key performance metrics across multiple venues.
- Assist in building scalable data pipelines using Python, R, and SQL to streamline data access.
- Aid in the development of AI-powered applications and workflows to automate tasks and provide recommendations.
What You'll Need
- Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or a related field; equivalent practical experience may be considered.
- 1-3 years of experience in an analytical or data science role.
- Proficiency in data manipulation and transformation using Python or R.
- Familiarity with SQL for data querying and analysis.
- Knowledge of data science workflows including data cleaning, feature engineering, and predictive modeling.
- Solid understanding of statistics, experimental design, and core data science concepts.
- Strong communication skills for presenting findings to diverse audiences.
What's On Offer
- Competitive salary
- Opportunity to work with a leading sports and entertainment portfolio.
- Exposure to cutting-edge data science techniques and AI applications.
- A collaborative environment focused on innovation and professional growth.
Apply via Haystack today!
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