Data Scientist / Data Quality Lead
About The Position
This is a contract-to-hire role for a Data Scientist / Data Quality Lead, focusing on data quality and assurance for a competitive pricing intelligence business. The role involves designing and building a data quality and assurance function from the ground up, with a clear path to a permanent position. The company is a market leader in competitive data, with a ~2-trillion-row data lake, and its customers rely on this data for critical pricing and revenue decisions. As the business evolves, data quality is becoming a core product feature. The initial 3-month engagement will focus on architecting and building an observability platform on top of an existing Snowflake lake, defining data quality standards (freshness, completeness, coverage, accuracy), building detection systems for issues, and tracing anomalies to their root causes.
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 systems to surface data problems before customers encounter them.
- Answer real data quality questions from large accounts and use them to shape the platform's capabilities.
- Trace anomalies to root cause, including source-site changes, collection failures, or processing errors.
- Turn a monitoring blueprint into a running system.
Benefits
- Competitive base salary on successful conversion.
- Equity on successful conversion.
- Chance to build a function from the ground up.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
