Senior Data Science Analyst

We're reinventing the market research industry. Let's reinvent it together.

At Numerator, we believe tomorrow's success starts with today's market intelligence. We empower the world's leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.

Senior Data Science Analyst, Triage

Numerator is a data and technology company reinventing market research. Headquartered in Chicago, IL,
Numerator has over 1,600 employees worldwide. The company blends proprietary data with advanced
technology to create unique insights for the market research industry. The majority of Fortune 100 companies
are Numerator clients. What are you waiting for, join us on this amazing journey!

Numerator is looking for aSenior Data Science Analyst to join our growing Data Business Operations team. This is
a unique opportunity where you will get a chance to work with an established and rapidly evolving platform that
handles millions of requests and massive amounts of events, and other data. In this position, you will be
responsible for taking on new initiatives to automate, enhance, maintain, and scale services in a rapidly-scaling
environment.

This Senior Data Science Analyst position is a data quality oriented role that creates value and drives impact across
the Product organization. The role is cross-functional by nature and is responsible for investigating pressing
data issues surfaced by both internal and external clients and identifying the root cause so that we can
collaboratively move towards a solution. The ideal candidate has analytical experience, with an understanding
of data transformations and data queries.

Responsibilities:

Forensic Data Analysis
. Isolate underlying root causes of data integrity issues across product and platform
. Communicate technical findings to our non-technical consultants in an approachable,
understandable manner
. Coordinate with engineers and technical team members to resolve bugs and creatively resolve
root causes
. Work closely with panel science team to coordinate product-side fixes arising from data science
design

Internal Product Development
. Partner with Product and Engineering team members on complex data projects
. Identify commonalities among root cause and develop efficiency-building products to streamline
forensic data analysis to isolate bugs more quickly
. Present developed products to first and second tier stakeholders
. Transfer ownership of complex projects from data scientists and handoff built projects to more
junior team members