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Data Scientist - Remote

Posted 5 days ago
Data Analysis
Full Time
USA

Overview

REPS & Co. is a leader in data analytics within the entertainment industry, focusing on delivering advanced analytics that supports data-driven decisions.

In Short

  • Join a dynamic team as a Data Scientist.
  • Analyze complex datasets and build predictive models.
  • Collaborate with cross-functional teams.
  • Visualize data and create dashboards.
  • Stay current with industry trends and tools.
  • Work in a fast-paced startup environment.
  • Document methodologies and model performance metrics.
  • Implement new tools and frameworks.
  • Collect and preprocess data from various sources.
  • Test and validate models for accuracy.

Requirements

  • Bachelor’s or Master’s degree in a related field.
  • Proven experience as a Machine Learning Engineer.
  • Proficiency in Python, R, or Java.
  • Strong understanding of data structures and algorithms.
  • Experience with data preprocessing and feature engineering.
  • Familiarity with cloud platforms and MLops tools.
  • Excellent problem-solving skills.
  • Strong communication and teamwork abilities.

Benefits

  • Medical, Dental, and Vision insurance.
  • Sick Leave and Paid Holidays.
  • 401k with Match and ESOP.
  • 100% Employer Paid Life Insurance.
  • Bonus and Gym Membership Reimbursement.
  • Parental Leave and Volunteer Time Off.
  • Ticket Benefits.
  • EAP Program.
REPS & Co logo

REPS & Co

REPS & Co, founded in 2017, has quickly established itself as a leader in data analytics within the entertainment industry. Recognized on Forbes' list of America's Best Startup Employers, the company specializes in providing advanced analytics that facilitate data-driven decision-making. Their innovative solutions offer comprehensive insights and forecasts, enhancing understanding and responsiveness to supply and demand in the ticketing market. With a strong emphasis on fostering creativity and collaboration, REPS & Co. is committed to driving innovation and shaping a dynamic market environment, making it an exciting place for analysts to grow and contribute.

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