Data Scientist

We are seeking a talented Data Scientist to join our team. This team is responsible for 2 major initiatives that will address customer membership abuse and traditional fraud issues. The ideal candidate will have strong technical skills, excellent communication abilities, and experience working cross-functionally.

Key Responsibilities:
• Model Development: Build and implement models to address fraud issues effectively.
• Collaboration: Work closely with product managers and engineers to integrate fraud prevention measures seamlessly.
• End-to-End Modeling: Proficiency in building and deploying models from formulation to results.
• Machine Learning: Strong understanding of machine learning concepts and their application in fraud prevention.
• Analytics: Ability to quickly understand objectives, perform analysis, and present outcomes effectively.
• Coding Skills: Proficiency in Python (most important), GCP, BigQuery
• Testing: Experience with integration and unit testing. Soft Skills:
• Communication: Highly articulate and well-spoken.
• Cross-Functional Experience: Proven ability to work effectively with various teams.
• Quick Learner: Ability to quickly understand and adapt to new challenges.

Compensation:

$55/hr to $60/hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.