Principal Data Scientist

2 weeks ago

Chicago IL, United States Early Warning® Full time

Principal Data Scientist – Identity
Early Warning® seeks a senior technical leader to join its Data Science team, focused on risk and fraud. This role is based in Scottsdale, San Francisco, Chicago, or New York and supports a hybrid work model.
A senior technical role within Data Sciences. The role leads analytical projects from concept to production, oversees model development and deployment, and mentors junior analysts. Design, develop, and maintain analytically derived models for risk assessment and fraud prevention.
Design data ETL processes and storage schemas for complex datasets.
Direct analytic data processes and program development.
Lead a data science team when required.
Manage multiple concurrent projects and control project timelines.
Support the company’s commitment to data integrity and confidentiality.
Bachelor’s degree in Mathematics, Statistics or related field.
~10 years of data analytics experience in a data‑rich environment (or equivalent).
~7 years of experience in efficient programming for large‑scale data manipulation.
~ Advanced experience with PySpark, Scala, Hive and data mining/step programming.
~ Advanced knowledge of machine‑learning, predictive modeling, and optimization techniques.
~ Extensive knowledge of industry standard analytical data sources.
~ Leadership experience on large analytic projects partnering with cross‑functional teams.
~ Deep knowledge of advanced ML algorithms.
~ Proficient SQL and database tuning.
~2+ years working with financial data.

The job is primarily sedentary, requiring extensive use of a computer. Visual acuity and dexterity to handle office equipment is necessary.
Competitive medical (PPO/HDHP), dental, and vision plans.
~We promote diversity and inclusion and consider qualified applicants irrespective of race, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected category, in accordance with all applicable laws.
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