Data Analytics Specialist
7 days ago
Founded in 2017, REPS & Co. has rapidly become a leader in data analytics in the entertainment industry. Recognized on the Forbes list of America's Best Startup Employers, we focus on delivering advanced analytics that support data-driven decisions. Our solutions provide comprehensive insights and forecasts, enabling us to have a better understanding and response to supply and demand in the ticketing world. With a commitment to driving innovation, REPS & Co. helps shape a dynamic market environment.
Key Responsibilities:- Design and Implement Machine Learning Models: Develop and deploy machine learning models and algorithms to drive business insights and optimize decision-making.
- Analyze and Process Large Datasets: Analyze and process large datasets to extract meaningful insights and inform business strategies.
- Manage Data Pipelines: Manage and maintain data pipelines to ensure data quality and availability.
- Collaborate with Cross-Functional Teams: Collaborate with data scientists, data engineers, and other stakeholders to integrate machine learning solutions into products.
- Optimize and Improve Existing Models: Continuously improve and optimize existing models for better performance and scalability.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- Proven experience as a Machine Learning Engineer or similar role.
- Proficiency in programming languages such as Python, R, or Java.
- Strong understanding of data structures, algorithms, and statistical methods.
- Experience with data preprocessing, feature engineering, and model evaluation.
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