Data Scientist lead

Ethereum Technologies LLC; Seattle (WA); On-site; USD 120,000 - 170,000; Full time

Job summary

Ethereum Technologies is seeking a data-focused professional to validate scoring models against churn and care outcomes, and to build scalable data pipelines in Databricks. The role emphasizes data quality, methodological documentation, and clear communication of findings to leadership.

The candidate will employ PySpark, SQL, and predictive modeling techniques, while maintaining rigorous documentation and version control to ensure reproducibility and trust in results.

Qualifications

• Must have strong Python/PySpark and SQL skills.
• Experience with Databricks performance tuning and Delta optimization.
• Applied statistics and predictive modeling for churn/outcomes.
• Production-quality coding habits and version control.
• Strong documentation and ability to question results that seem inaccurate.

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

Applied statistics

Data quality checks

Documentation

Executive communication

Tools

Databricks

Git/version control

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.