Principal Data Scientist - Payment

Join to apply for the Principal Data Scientist - Payment role at Early Warning

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. This role assumes analytic project ownership, starting from conceptualization and design. Oversees the process of development, implementation and enhancement of the analytically derived models and products in a moment in time in a multifaceted, high-volume, high-throughput data environment. Responsibilities also include providing leadership and mentoring to junior analysts in the technical aspects of their assignments. This position will have frequent interactions 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 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.

Minimum Qualifications

Preferred Qualifications

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.

Compensation

The Base Pay Scale For This Position In Phoenix, AZ / Chicago, IL in USD per year is : $158,000 - $205,000. New York, NY / San Francisco, CA in USD per year is : $189,000 - $230,000. Additionally, candidates are eligible for a discretionary incentive plan and benefits.

Equal Opportunity Employer

Early Warning Services is an equal opportunity employer. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Early Warning Services, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws.

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