Data Scientist lead

Valiant Technologies LLC; Seattle (WA); On-site; USD 130,000 - 180,000; Full time

Job summary

Valiant Technologies LLC in Seattle is seeking a data engineering/analysis professional to validate scores against churn and care outcomes, and to build large-scale data pipelines in Databricks.

You will catch data quality issues before results reach leadership, document methodology and data lineage, and explain findings to both non-technical and executive audiences. Strong stats and WoE/IV experience preferred; production-grade coding required.

Qualifications

• Proficient in Python/PySpark and advanced SQL.
• Databricks performance tuning experience (partitioning, Delta optimization).
• Applied statistics and predictive modeling for yes/no outcomes like churn.
• Production-quality coding habits with Git/version control.

Responsibilities

• Validate the score against customer outcomes such as churn and care contacts
• Build and optimize large-scale data pipelines in Databricks
• Catch and fix data quality issues before results reach leadership
• Document methodology, data lineage, and logic changes
• Explain findings to non-technical and executive audiences

Skills

Python/PySpark

Advanced SQL

Databricks optimization

Statistics & predictive modeling

Data quality and governance

Git version control

Data storytelling

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization

US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description

• Validate the score against customer outcomes such as churn and care contacts
• Build and optimize large-scale data pipelines in Databricks
• Catch and fix data quality issues before results reach leadership
• Document methodology, data lineage, and logic changes
• Explain findings to non-technical and executive audiences

Must-haves

• Python/PySpark and advanced SQL
• Databricks performance tuning (partitioning, Delta optimization, cluster sizing)
• Applied statistics, especially predictive modeling for yes/no outcomes like churn
• Git/version control and production-quality coding habits
• Habit of checking whether results make sense as they work; skeptical of results that look too good
• Strong documentation and organizational discipline

Strong preferences

• Weight of Evidence/Information Value (WoE/IV) experience
• Wireless or telecom network KPI knowledge

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.