Data Scientist II – Payments & Fraud ML

Early Warning Services LLC; San Francisco (CA); Hybrid; USD 101,000 - 162,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) retirement plan

Paid time off

Job summary

Early Warning Services LLC is seeking a data scientist to join a team delivering ML/AI solutions. You will understand business needs, explore data, build and validate models, and deploy them to drive business results.

The role requires 4+ years of experience and proficiency in Python, SQL, and ML libraries, with a focus on scalable data pipelines and explainable models. Collaboration with Product and Engineering teams is essential, as well as strong communication to non-technical stakeholders.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science, Operational Research or related field.
• 4+ years of data science, engineering or related work experience.
• Proficiency with Python and SQL; experience with terabyte-scale datasets.
• Experience applying ML techniques and understanding performance factors.
• Experience with ML libraries such as scikit-learn and MLlib.
• Experience with data visualization tools and producing explainable results.
• Ability to write production-level, well-documented code.
• Desire to rapidly prototype and run proofs of concept.
• Background and drug screen.

Responsibilities

• Explore and aggregate data to identify anomalies affecting model performance.
• End-to-end feature engineering including brainstorming, creation, validation and down-selection.
• Write production-grade code in a dynamic environment.
• Tackle problems with terabyte-size data sets.
• Apply various ML techniques to business problems for optimal solutions.
• Collaborate with Product and Engineering to identify trends and opportunities.
• Explain results and model performance to non-technical audiences.
• Support data integrity and confidentiality of systems and data.

Skills

Python

SQL

ML algorithms

Data viz

Production code

ETL

Education

Bachelor's degree

Tools

scikit-learn

MLlib

Job description

Early Warning Services LLC is seeking a data scientist to join a team delivering ML/AI solutions. You will understand business needs, explore data, build and validate models, and deploy them to drive business results.

The role requires 4+ years of experience and proficiency in Python, SQL, and ML libraries, with a focus on scalable data pipelines and explainable models. Collaboration with Product and Engineering teams is essential, as well as strong communication to non-technical stakeholders.