RevOps Data Scientist: Experiments & Production ML

Raptive; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

Raptive is seeking a Data Scientist to join our RevOps Data Science team in New York. Your mission is to leverage our vast data set to surface meaningful insights that drive decision-making across the business, focusing on improving work processes and developing scalable solutions.

You will design experiments, build metrics, and deploy models in production using tools like Snowflake, Python, and cloud platforms.

Qualifications

• Graduate degree or equivalent in Statistics, Industrial Systems Engineering, or a related field.
• Familiarity with real-time advertising markets.
• Experience processing large data sets with SQL and big data tools.
• Experience with Python and statistical software such as NumPy, scikit-learn, and R.
• Experience deploying models into production with cloud and containerization is a plus.
• Familiarity with classification/regression libraries like TensorFlow, Keras, PyTorch.

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 and data flows.
• Build understanding of data-generating processes.

Skills

Statistical modeling concepts

Data visualization

Experiment design

Communication of insights

Education

Graduate degree in Statistics or related field

Tools

Snowflake

Hive

Presto

BigQuery

Bash

Python

AWS

NumPy

scikit-learn

R

TensorFlow

Keras

PyTorch

Zorro stats library

Job description

Raptive is seeking a Data Scientist to join our RevOps Data Science team in New York. Your mission is to leverage our vast data set to surface meaningful insights that drive decision-making across the business, focusing on improving work processes and developing scalable solutions.

You will design experiments, build metrics, and deploy models in production using tools like Snowflake, Python, and cloud platforms.