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. 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

• Bachelor’s Degree in Mathematics, Statistics,  or related field. Master's degree strongly preferred.
• Typically 12 years data analytics experience with a Masters degree in a data rich environment (or equivalent education and experience). 15 years of experience or more with a Bachelors
• 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. 
• 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, pandas, etc.
• Experience in 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.
 

The base pay scale for this position in:

Phoenix, AZ/ Chicago, IL in USD per year is: $173,000 - $259,000.

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

Additionally, candidates are eligible for a discretionary incentive plan and benefits.

This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate’s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.

Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.
Early Warning Services is an equal opportunity employer.

Some of the Ways We Prioritize Your Health and Happiness 

• Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
• 401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
• Paid Time Off – Unlimited Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
• 12 weeks of Paid Parental Leave
• Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.

And SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!

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. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.