Raptive
eCommerce • Media • SaaS
Raptive is a full-service creator media company that empowers creators and publishers to maximize their ad revenue and grow their brands. By leveraging advanced technology and deep industry expertise, Raptive enables content creators to turn their passions into profitable ventures while maintaining quality audience engagement. The company provides a range of services including ad management and business solutions, ensuring that creators receive high earnings while advancing their influence in the digital space.
Data Scientist
September 30
Raptive
eCommerce • Media • SaaS
Raptive is a full-service creator media company that empowers creators and publishers to maximize their ad revenue and grow their brands. By leveraging advanced technology and deep industry expertise, Raptive enables content creators to turn their passions into profitable ventures while maintaining quality audience engagement. The company provides a range of services including ad management and business solutions, ensuring that creators receive high earnings while advancing their influence in the digital space.
📋 Description
• Leverage Raptive's data set to surface meaningful insights that drive decision-making across the business • Help derive meaningful insights from large amounts of data, build metrics, find answers, and create dependable, repeatable solutions • Design and analyze experiments to improve revenue • Classify audience and content to support programmatic direct and indirect sales • Deliver evolutionary floor price guidance • Visualize complex systems • Build deep understanding of data generating processes
🎯 Requirements
• Graduate degree or equivalent in Statistics, Industrial Systems Engineering, or comparable field • Familiarity with real time advertising markets • Familiarity with processing large data sets (eg with Snowflake, Hive, Presto or BigQuery) • Scripting experience (eg Bash or Python) • Experience with the AWS environment • Experience with statistical software (eg NumPy, scikit-learn, R) • Familiarity with classification and regression libraries (eg TensorFlow, Keras, Pytorch) • Familiarity with algorithms (eg XGBoost, Convolutional NN) • Familiarity with deploying, scaling, and maintaining data science models in production environments, including experience with cloud platforms, containerization, orchestration, or related tools • Applicants must be authorized to work for any employer in the U.S.; employer will not sponsor visas
🏖️ Benefits
• Remote Full Time • Eligible for additional incentive compensation that isn’t included in the posted range • Commitment to diversity, equity, and inclusion • Reasonable accommodation for individuals with disabilities upon request
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