Senior ML Engineer - Fraud & Risk (Remote)

Step; New York (NY); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Stock options

Competitive compensation

Medical, dental, vision insurance

Company-paid life insurance

401k with Safe Harbor matching

Flexible vacation policy and paid bank

Job summary

Step is seeking an experienced Data Scientist to build and deploy machine learning models for Risk and Fraud. You will lead technical efforts, manipulate data with SQL, and write production-grade code to deliver robust ML solutions.

The role emphasizes designing experiments to guide model performance and collaborating with Operations to respond quickly to events. Ideal candidates have 5+ years in data science or ML, strong SQL and Python skills, and the ability to communicate with both technical

Qualifications

• 5+ years experience in Data Science or ML Engineering.
• Proficiency in SQL and Python.
• Ability to communicate clearly with technical and non-technical audiences.
• Excellent data analysis skills.
• Experience developing and deploying machine learning models.
• Experience, but not required, in financial systems, including lending or risk/fraud.

Responsibilities

• Build and deploy ML models to enhance risk and fraud detection systems.
• Lead technical efforts in Risk/Fraud area.
• Use SQL to fetch, transform, and prepare data for model development.
• Write production-grade code for ML solutions.
• Design experiments and evaluate model performance.

Skills

SQL

Python

Data analysis

Communication

Model deployment

ML

Job description

Step is seeking an experienced Data Scientist to build and deploy machine learning models for Risk and Fraud. You will lead technical efforts, manipulate data with SQL, and write production-grade code to deliver robust ML solutions.

The role emphasizes designing experiments to guide model performance and collaborating with Operations to respond quickly to events. Ideal candidates have 5+ years in data science or ML, strong SQL and Python skills, and the ability to communicate with both technical