What to expect:

 

• Design and develop machine learning solutions for online payments financial crime prevention
• Bring state-of-the-art machine learning research into our financial crime prevention practice
• Drive innovation in using alternative data sources for financial crime prevention
• Work closely with operation teams, analyze financial crime patterns, and create and adapt machine learning based financial crime prevention mechanisms while focusing strongly on the customer’s experience and business growth
• Identify and qualify business opportunities and work with business and product teams to ensure machine learning solutions are addressing the correct business needs
• Provide machine learning expertise to support the technical relationship with Paysafe divisions, including solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting our business performance
• Own machine learning systems end-to-end, from collecting data to deploying in production and monitoring
• Be responsible for the quality and ongoing evaluation of the machine learning systems
• Work closely with product and IT teams to successfully integrate machine learning systems into our products
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution
• Collaborate with other engineers to build common tools for accelerating machine learning operations internally
• Supervise junior data scientists

 

To be successful you need to have:

 

• MSc or PhD degree in Computer Science, Machine Learning, or related technical field
• Minimum 5 years of professional experience in machine learning
• Solid understanding of machine learning fundamentals
• Strong analytical skills
• Proven ability to implement, debug, and deploy machine learning systems in industry
• Experience in at least one of the following deep learning applications: Computer Vision, Natural Language Processing or Speech Recognition
• Familiarity with graph algorithms and graph databases
• Ability to conduct applied research and bring it to production solutions
• Proficiency in Python programing
• Proficiency in SQL
• Experience with Tensorflow/PySpark or another popular ML framework
• Experience working with cloud technology stack (AWS, Azure, etc.) and developing machine learning systems in a cloud environment
• Ability to write high-quality code
• Result oriented team player
• Strong communication skills and excellent spoken and written English
• Ability to supervise junior data scientists