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# Data Scientist

- **Company:** Market Track, LLC
- **Location:** Chicago, IL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Software as a Service, Python (Programming Language), SQL Databases, Information Technology
- **Published:** June 19, 2026
- **Apply:** https://www.juju.com/job/00000000g93ybp

## About the Role

+ BS or advanced degree in Mathematics, Statistics, Computer Science, Economics, or another quantitative field

 + 2-5 years of industry experience in a data science or analytics role

 + Proficiency in SQL and experience working with Python

 + Strong analytical and problem-solving skills

 + Experience working with large and complex datasets

 + Ability to communicate complex concepts to non-technical audiences

 + Experience with AI skills and process-building is a plus; interest in building with these tools a must

## Description

Numerator is seeking a Data Scientist to join our growing Data team, working on an established platform that processes massive amounts of proprietary data. This high-impact role centers on supporting and improving our calibration system - a core component that ensures our data outputs are accurate, consistent, and representative of real-world behavior.

You'll contribute to data science systems across multiple SaaS products with end-to-end influence, emphasizing applied problem solving, data investigation, and system improvement. If you thrive in a fast-paced environment and want to shape how an entire industry understands consumer behavior, this is the role for you.

How You'll Spend Your Time

 + Contribute to the development and improvement of data science systems, with a focus on calibration methodologies and workflows

 + Investigate and analyze data to identify patterns, inconsistencies, and opportunities for improvement

 + Build and enhance metrics, reporting, and monitoring to better understand system performance

 + Collaborate across Product, Data, and Engineering teams to deliver data-driven solutions

 + Support integration and validation of new data sources and system changes

 + Execute on projects involving data analysis and statistical methods

 + Communicate results, findings, and recommendations to stakeholders


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