Data Scientist

Responsibilities

• 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
• The skills and experience you bring to the job
• 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 (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 cloud platforms, containerization, orchestration, or related tools.
• About Raptive
• For more information, visit www.Raptive.com or follow us on LinkedIn or Instagram.

Benefits

Additional Information

Raptive is seeking a Data Scientist to join our RevOps Data Science team. Your mission is to leverage our vast data set to surface meaningful insights that drive decision-making across the business. Given the broad scope of this effort, the ideal candidate will be driven by understanding and improving work processes and developing solutions that potentially use a wide variety of technologies. As a Data Scientist, you will be responsible for helping to derive meaningful insights from large amounts of data, building metrics, finding answers, and creating dependable, repeatable solutions. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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