Principal Data Scientist – Identity

EEOC

full-time

Posted on: 8/27/2025

Location: Arizona, California, Illinois, New York • 🇺🇸 United States

✨ AI Apply

💰 $158,000 - $205,000 per year

Lead

ETLMavenPandasPySparkScalaScikit-LearnSQL

About the role

Senior technical role within Data Sciences; analytic project ownership from conceptualization to design.
Oversee development, implementation and enhancement of analytically derived models in a high-volume data environment.
Provide leadership and mentoring to junior analysts; manage and potentially hire/manage a team of data scientists.
Participate in or lead design, development, and maintenance of models for assessing risk and detecting and preventing fraud.
Design data ETL and storage schemes for complex datasets from various sources and manage analytic data processes.
Support large scale business initiatives and prepare analytic design documentation; present technical information to management.
Research and recommend new analytical techniques/software and train team members; support data integrity and confidentiality.

Bachelor’s Degree in Mathematics, Statistics, or related field.
A minimum of 10 years data analytics experience in a data rich environment (or equivalent education and experience).
A minimum of 7 years experience in efficient programming enabling timely manipulation and analysis of large data sets.
Advanced experience in data mining, data manipulation and data step programming required using PySpark, Scala and Hive
Advanced experience in designing and utilizing a wide variety of machine learning, predictive modeling, and optimization techniques.
Proven experience with understanding business requirement and translating into an analytic design
Strong ability to effectively communicate findings from complex analyses to non-technical audiences.
Proven ability to evaluate different analytical approaches and select the optimal design and techniques.
Capability to lead large scale analytic projects independently involving multiple analysts and partner with other departments
Background and drug screen Preferred qualifications:
Advanced degree strongly preferred.
Deep knowledge of advanced ML algorithms
Experience using ML-related libraries, such as scikit-learn, pandas, etc.
Experience in writing and tuning SQL.
2+ years experience working with financial data.