Data Scientist II — ML & Fraud Analytics for Payments

Early Warning Services LLC; Chicago (IL); Hybrid; USD 101,000 - 152,000; Full time

Benefits offered by this job

Healthcare Coverage

401(k) Retirement Plan

Paid Time Off

Paid Parental Leave

Maven Family Planning

Job summary

Early Warning Services is seeking a data science professional to drive end-to-end ML projects. You will understand business needs, explore and aggregate large datasets, engineer features, and deploy models to deliver concrete results. Collaboration with Product and Engineering is essential to identify trends and opportunities.

The role emphasizes production-grade code, explainable models, and the ability to communicate complex findings to non-technical colleagues. A drug screen is required.

Qualifications

• Bachelor's degree in a quantitative field required.
• 4+ years of data science, engineering, mathematics, or related work experience.
• Experience building data science pipelines & workflows in Python or R and writing/tuning SQL.
• Experience applying ML techniques and understanding their key parameters.
• Experience using ML libraries (e.g., scikit-learn, MLlib).
• Experience with data visualization tools.
• Ability to write production-level, explainable code.
• Interest in rapid prototyping and proofs of concept.
• Strong ability to communicate findings to non-technical audiences.
• Background and drug screen.

Responsibilities

• Explore and aggregate data to uncover anomalies affecting model performance.
• End-to-end feature engineering from brainstorming to down-select.
• Write production-level code in a dynamic environment.
• Solve problems with terabyte-scale data.
• Apply various ML techniques to business problems.
• Collaborate with Product and Engineering to identify trends and opportunities.
• Explain and visualize results and model performance to non-technical audiences.
• Support data/system security and confidentiality.

Skills

Python

R

SQL

Data visualization

Production code

POC/prototyping

Communication

Education

Bachelor's Degree in Mathematics, Statistics, Computer Science, Operational Research or related field

Tools

PySpark

scikit-learn

MLlib

Job description

Early Warning Services is seeking a data science professional to drive end-to-end ML projects. You will understand business needs, explore and aggregate large datasets, engineer features, and deploy models to deliver concrete results. Collaboration with Product and Engineering is essential to identify trends and opportunities.

The role emphasizes production-grade code, explainable models, and the ability to communicate complex findings to non-technical colleagues. A drug screen is required.