EEOC

Principal Data Scientist – Identity

EEOC

full-time

Posted on:

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

Visit company website
AI Apply
Manual Apply

Salary

💰 $158,000 - $205,000 per year

Job Level

Lead

Tech Stack

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.

Requirements

  • 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.