Description

Key Skills: Machine Learning, Data Science, Statistical Analysis, Python, Predictive Modeling, Data Mining, Algorithm Development, MLOps

Good to Have Skills: Experience with large-scale data processing, fraud detection systems, financial transaction analysis, real-time model deployment, automated ML pipelines, mentoring and leadership experience, cross-functional collaboration skills, and experience working with engineering teams on production implementations.

Roles & Responsibilities:

• Use machine learning and analytical techniques to create scalable solutions for complex business problems.
• Analyze and extract relevant information from large amounts of historical business data to automate key processes.
• Design, develop, evaluate and deploy innovative and highly scalable models for predictive learning and fraud detection.
• Research and implement novel machine learning and statistical approaches to prevent theft, fraud, abuse and waste.
• Work closely with software engineering teams to drive real-time model implementations and new feature creations.
• Collaborate with business owners and operations staff to optimize various business operations and financial processes.
• Establish scalable, efficient, automated processes for large scale data analyses, model development and validation.
• Lead projects and mentor other scientists and engineers in the use of machine learning techniques.
• Work proactively with engineering teams and product managers to evangelize new algorithms and drive implementation.
• Coordinate with cross-functional teams to solve problems and create operational efficiencies against high organizational standards

Key Skills

Education

Any Graduate