Our cloud team, comprising highly skilled IT professionals, offers perfect solutions for your needs. Cloud team simply means offshoring IT services. It connects you with a global pool of dedicated and qualified technical teams, irrespective of distance and international borders. You get the flexibility to hire onsite and offshore resources from any location at any time. They have diverse skills to deploy projects without disturbing the ongoing cycle. If you offshore IT services, you can save costs on infrastructure and recruitment.
The Role
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.
Ideal Profile
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
- Work Location: Remote
- 5 days working
What's on Offer
- Work within a company with a solid track record of success
- Flexible working options
- Excellent career development opportunities
