Description

You will develop machine learning and deep learning solutions to address account takeover, payment fraud, fake account signups, and identity risk assessment.

Responsibilities

• Perform hands-on data exploration, processing, and analysis on massive data sets.
• Develop robust solutions using machine learning, deep learning, and reinforcement learning techniques.
• Research and develop advanced algorithms to solve complex business problems.
• Communicate project results to stakeholders and present findings at internal or external conferences.
• Contribute to core machine learning capabilities using deep knowledge of ML and software engineering.

Required Skills

• Proficiency in Python, TensorFlow, and Keras.
• Experience with data mining, machine learning, and deep learning packages.
• Working knowledge of Hive, Spark, GCP, or Azure.
• Coding proficiency in SQL, Python, Java, or JavaScript.
• Experience working with large data sets and cloud computing.
• Solid background in statistical analysis and software development.
• Advanced degree (Master or PhD) in a STEM field with 4-6 years of related experience, or equivalent experience/education combinations.

Preferred Skills

• Knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA standards and assistive technologies.
• Experience with scikit-learn, torch, Scala, or R.

Key Skills

Education

Bachelor's or Master's degrees