Principal Data Scientist - Payment

At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship. Overall Purpose

This position is a senior technical role within Data Sciences. It assumes analytic project ownership from conceptualization and design, oversees the process of development, implementation, and enhancement of analytically derived models and products in a high-volume, high-throughput data environment. Responsibilities also include providing leadership and mentoring to junior analysts in the technical aspects of their assignments. The role frequently interacts with other departments as necessary. Essential Functions

• 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 a leading role in supporting large-scale business initiatives
• Prepare analytic detail design documentation
• Oversee documentation of analytic solutions developed
• Responsible for overall analytic data processes, designing and directing program development
• Research and recommend new analytical techniques and software and train team members accordingly
• Manage a team of data scientists, if needed
• Support multiple projects concurrently; develop and manage timelines for all project activities
• Prepare and present technical information in appropriate form to management and to technical colleagues
• Support the company's commitment to protect the integrity and confidentiality of systems and data

• Bachelor's Degree in Mathematics, Statistics, or a related field; Master's degree strongly preferred
• Typically 12 years of data analytics experience with a Master's degree in a data-rich environment (or equivalent education and experience); 15 years of experience or more with a Bachelor's degree
• 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 using PySpark, Scala, and Hive
• Advanced experience in designing and utilizing a wide variety of machine learning, predictive modeling, and optimization techniques
• Extensive knowledge of commonly used, industry-related analytical data sources
• Proven experience with understanding business requirements and translating them 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 partnering with other departments
• Background and drug screen

Preferred Qualifications

• Advanced degree strongly preferred
• PySpark/SQL experience
• Hive and Scala preferred
• AWS/SageMaker familiarity is highly desired
• Large bank fraud and risk modeling preferred
• Understanding of banking regulations
• Deep knowledge of advanced ML algorithms
• Experience using ML-related libraries such as scikit-learn and pandas
• Experience writing and tuning SQL
• 2+ years experience working with financial data

Physical Requirements

Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers. Pay and Compensation

The base pay scale for this position in Phoenix, AZ/Chicago, IL is USD $173,000 - $259,000 per year.

In New York, NY/San Francisco, CA it is USD $207,000 - $311,000 per year.

• Healthcare Coverage - competitive medical (PPO/HDHP), dental, and vision plans with company contributions to health savings accounts, HSAs, and flexible spending accounts for commuting, health, and dependent care expenses
• 401(k) Retirement Plan - featuring a 100% company safe harbor match on the first 6% deferral immediately upon eligibility
• Paid Time Off - unlimited time off for exempt employees and generous PTO for non-exempt employees, plus 11 paid company holidays and a paid volunteer day
• 12 weeks paid parental leave
• Maven Family Planning - support through the parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work

Early Warning Services is an equal opportunity employer. EEO Statement