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Early Warning® · 18 hours ago

Principal Data Scientist - Payment

Chicago, IL

Full-time

Hybrid

Lead/Staff

$173K/yr - $259K/yr

10+ years exp

Early Warning is a trusted name in payments, partnering with institutions to enhance access to financial services. The Principal Data Scientist will own analytic projects, oversee model development, and mentor junior analysts while ensuring the integrity of data processes.

Financial ServicesFraud DetectionPaymentsRisk Management

No H1B

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

Data analytics experiencePysparkMachine learning techniquesRiskFraud modelsSQLData manipulationStatistical analysisAnalytic designTeam leadershipCommunication skills

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

Experience building and deploying Risk and Fraud models into production

Must have worked for a financial company and understand banking regulations

Extensive experience with PySpark

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 – 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.