Note: The job is a remote job and is open to candidates in USA. Numerator is seeking a Data Scientist to join their growing Data team, working on an established platform that processes massive amounts of proprietary data. This high-impact role focuses on supporting and improving the calibration system to ensure data outputs are accurate and representative of real-world behavior.

Responsibilities

• 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

Skills

• 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

Benefits

• An inclusive and collaborative company culture- we work in an open environment while working together to get things done, and adapt to the changing needs as they come.
• Market competitive total compensation package.
• Volunteer time off and charitable donation matching.
• Strong support for career growth, including mentorship programs, leadership training, access to conferences and employee resource groups.
• Great benefits package including health/vision/dental, Personal Spending Account, unlimited PTO, flexible schedule, 401K matching, travel reimbursement and more.

Company Overview

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