Data Scientist / Data Quality Lead

QL2 Software•,

5h•$155,000 - $205,000•Remote

About The Position

This is a full-time, remote role for a Data Scientist / Data Quality Lead. The company is a market-leading competitive data business with over two decades of experience in acquiring pricing and availability data at scale, delivered to major clients in travel, retail, and other sectors. The data is stored in a ~2-trillion-row data lake. As the business enters a new phase, data quality, provability, and defense are becoming paramount. This role involves designing and building the data-quality and assurance function from the ground up. The successful candidate will architect the system, implement it, work on critical problems from the start, and own the future direction of the function.

Requirements

5+ years in data science, data quality, or data reliability on large-scale real-world datasets.
Strong command of anomaly detection, baselining, and statistical quality signals.
Experience root-causing data issues across collection, processing, and source-side change.
Fluency with SQL and Python.
Experience with modern data-warehouse environments (Snowflake or similar).
Experience with observability tooling.
Availability to start within approximately 2 weeks.

Nice To Haves

Experience with competitive pricing, rate, or marketplace data.
Background in consumer-travel / OTA or rate-intelligence.

Responsibilities

Architect and begin building the observability platform, including the signal framework, health scoring, and pipeline instrumentation, on top of an existing Snowflake lake and telemetry proof-of-concept.
Define data quality standards for freshness, completeness, coverage, and accuracy.
Build detection mechanisms to identify and surface data problems before they impact customers.
Address real data quality questions from major accounts and use them to inform platform development.
Trace anomalies to their root cause (e.g., source-site changes, collection failures, processing errors).
Transition a monitoring blueprint into a fully operational system.