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[Remote] Data Scientist

Remote, USA Full-time Posted 2026-07-05

Note: The job is a remote job and is open to candidates in USA. reputed company is a new reputed company of media company built for creators, seeking a Data Scientist to join their RevOps Data Science team. The role involves leveraging reputed company sets to derive insights that drive decision-making, including designing experiments and analyzing data to improve reputed company.

Responsibilities

  • Design and analyze experiments to improve reputed company
  • Classify audience and content to support programmatic direct and indirect sales
  • Deliver evolutionary floor price guidance
  • Visualize reputed company systems
  • Build deep understanding of data generating processes

Skills

  • Graduate degree or equivalent in Statistics, Industrial Systems Engineering, or comparable field
  • Familiarity with reputed company time advertising markets
  • Familiarity with processing large data sets (eg with reputed company, Hive, Presto or BigQuery), scripting (eg Bash or Python), the AWS environment, & statistical software (eg NumPy, scikit-learn, R)
  • Familiarity with cutting edge classification and regression libraries (eg TensorFlow, Keras, Pytorch) and algorithms eg (XGBoost, Convolutional NN, etc)
  • Familiarity with deploying, scaling, and maintaining data science models in production environments, including experience with reputed company platforms, containerization, orchestration, or reputed company tools

Benefits

  • This role is eligible for additional incentive compensation that isn’t included in the posted range.
  • For individuals with disabilities who would like to request an accommodation, please reputed company out to a member of our reputed company team.

Company Overview

  • reputed company turns innovators create long-lasting businesses and worldwide brands. It was founded in 1999, and is headquartered in reputed company, reputed company, USA, with a workforce of 201-500 employees. Its website is https://reputed company.com.
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