Remote Data Quality Lead Build Observability Platform

S27a; United States; On-site; USD 117,000 - 207,000; Full time

Job summary

S27a is seeking a Data Scientist / Data Quality Lead for a 3-month contract-to-hire, remote across North America, Europe, India and South America.

You will design and build the data-quality and assurance function, architect observability, define good metrics, and surface issues before customers see them.

Strong SQL, Python, Snowflake experience with large real-world datasets is required; start within ~2 weeks preferred.

Qualifications

• 5+ years in data science, data quality, or data reliability.
• Strong anomaly detection and baselining.
• Experience root-causing data issues across collection, processing, and source-side change.
• Fluency with SQL and Python, Snowflake or similar data-warehouse.
• Availability to start within ~2 weeks.

Responsibilities

• Architect and begin building the observability platform - signal framework, health scoring, and pipeline instrumentation.
• Define what “good” looks like across freshness, completeness, coverage, and accuracy.
• Answer real, open data-quality questions from several large accounts to shape the platform.
• Trace anomalies to root cause and turn a monitoring blueprint into a running system.

Skills

Anomaly detection

Baselining

Root-cause analysis

SQL

Python

Observability tooling

Tools

Snowflake

Job description

S27a is seeking a Data Scientist / Data Quality Lead for a 3-month contract-to-hire, remote across North America, Europe, India and South America.

You will design and build the data-quality and assurance function, architect observability, define good metrics, and surface issues before customers see them.

Strong SQL, Python, Snowflake experience with large real-world datasets is required; start within ~2 weeks preferred.