Data Scientist

Raptive • New York, NY

2d • $100,000 - $150,000

About The Position

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.

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 (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.

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

Benefits

• The base salary range for this position is $100,000-$150,000. The range provided is Raptive’s reasonable estimate of the annualized base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, geographic location, knowledge, skills and abilities. This role is eligible for additional incentive compensation that isn’t included in the posted range.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level