EEOC

Principal Data Scientist - Payment

EEOC

full-time

Posted on:

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

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $158,000 - $230,000 per year

Job Level

Lead

Tech Stack

ETLMavenPandasPySparkScalaScikit-LearnSQL

About the role

  • Overall Purpose: This position is a senior technical role within Data Sciences. This role assumes analytic project ownership, starting from conceptualization and design. Responsibilities: Participate in or lead the design, development, and maintenance of analytically derived models for assessing risk and detecting and preventing fraud. Design data ETL and storage schemes for complex datasets from various sources. Play leading role in supporting large scale business initiatives. Preparation of analytic detail design documentation. Oversees documentation of analytic solutions developed Responsible for overall analytic data processes, designing and directing program development. Research and recommend new analytical techniques / software and train the team members accordingly. Manage a team of data scientists, if needed Ability to support multiple projects concurrently. Develop and manage timelines for all project activities Prepare and present technical information in appropriate form to management as well as to technical colleagues Support the company's commitment to protect the integrity and confidentiality of systems and data.

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. Extensive knowledge on commonly used, industry related analytical data sources 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.