Data Science Engineer

Job Overview

Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification.

Work closely with Cyber Fraud Investigations, Data Engineering and AI/ML teams to establish data science frameworks and embed insights into operational processes.

Create and automate dashboards, feature pipelines, and model scoring outputs in collaboration with various stakeholders.

• Over 5 years of experience in data science and machine learning.
• Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks.
• Hands-on experience with AI agents and LLMs - Preferred.
• Showcase a successful history of leading impactful data science initiatives.
• Exhibit strong communication and teamwork abilities.
• This role is not suitable for entry-level candidates or interns.

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”