Offer summary

Qualifications:

5+ years experience in Data Science or ML Engineering, Graduate degree in relevant technical field, Proficiency in SQL and Python, Experience in machine learning model deployment.

Key responsabilities:

Design, develop, and deploy ML models

Lead technical efforts in Risk/Fraud area

Manipulate data using SQL

Write production-grade code for ML solutions

Design experiments to evaluate models

Partner with Operations Team

With our approach to Web Design, our methods continue to be proven in a continuous challenging marketplace with delivering what we promise. We’ll give you brand new and original creative ideas to bring your campaigns to life and as always will throw in an abundance of friendly. Our Support Forum is at your disposal at any time, 5 Star Assistance is offered within 48 hours. As a leading digital agency we are able to offer a fully integrated service beyond the initial website design. "Yes! we are new, but our talent is not! :D " Our every project comes with One-month free support (Additional support can be purchased).* “There are three responses to a piece of design – yes, no, and WOW! Wow is the one to aim for.” -Milton Glaser

Job description

We are seeking for an experienced Senior Data Scientist to build and deploy Machine Learning models for all things Risk and Fraud.

Responsibilities:

Build and Deploy ML Models: You'll design, develop, and deploy machine learning models to enhance our Risk and Fraud detection systems. These models protect Step and our customers from fraud and financial loss.
Lead Technical Efforts: You'll take the lead in the Risk/Fraud area, providing technical direction and helping shape team's strategy.
Data Manipulation: You'll use SQL to efficiently fetch, transform, and manipulate data, ensuring it's ready for model development.
Code Development: You'll write production-grade code to deliver robust machine learning solutions.
Design Experiments: You'll apply statistics to guide experiments, determine appropriate sample sizes, and evaluate model performance.
Cross-Function Partnership: Parter with Operations Team to quickly respond to rapidly evolving events.

Requirements:

5+ years experience in Data Science or ML Engineering
A graduate degree in statistics, economics, applied mathematics, computer science, physical sciences, or a similar technical field.
Proficiency in SQL and Python
Ability to communicate clearly with both technical and non-technical audiences.
Excellent data analysis skills.
Experience developing and deploying machine learning models.
Experience, but not required, in working in financial systems, including lending or risk/fraud.

Benefits: