Early Warning® · 4 months ago
Principal Data Scientist - Payment
Early Warning Services is a trusted name in payments, partnering with institutions to enhance financial services and protect transactions. They are seeking a Principal Data Scientist to lead the design and development of analytic models for assessing risk and preventing fraud, while also mentoring junior analysts and managing multiple projects.
Financial ServicesFraud DetectionPaymentsRisk Management
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
Qualification
Required
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
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
Benefits
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 – Flexible 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.
Company
Early Warning®
Early Warning Services, LLC, a financial services technology leader, has been empowering and protecting consumers, small businesses, and the U.S.
Funding
Current Stage
Late StageRecent News
Payments Dive
2025-10-31
Company data provided by crunchbase