Data Scientist lead

Robotics Technologies LLC; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Robotics Technologies LLC in Seattle is seeking a data-focused engineer/scientist to validate models and optimize large-scale data pipelines. The role emphasizes robust analytics and clear storytelling to leadership.

You will work with Python/PySpark, SQL, and Databricks, ensuring data quality, documenting lineage, and translating complex analyses for executives. The position calls for collaboration across teams and a commitment to reproducible results.

Qualifications

• Proficient in Python/PySpark and SQL.
• Experience with Databricks and performance tuning.
• Strong applied statistics and predictive modeling.
• Git/version control and production-grade coding.
• Attention to data quality and reproducibility.
• Excellent documentation and communication.

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 performance tuning

Applied statistics / predictive

Git/version control

Production-quality coding

Data quality debugging

Documentation discipline

Skeptical of results

Tools

Git

Databricks

Delta optimization

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.