Data Scientist

What you'll do

• Build and maintain predictive models and machine learning algorithms using large volumes of data.
• Identify patterns and trends in large datasets to create technical rules and solutions.
• Integrate cybersecurity and transaction data to identify fraud and vulnerabilities across the network.
• Translate stakeholder needs into technical analyses and communicate business impacts to senior leadership.
• Design metrics to track product usage, model performance, and other key security outcomes.
• Develop scalable data solutions in collaboration with product, engineering, and operations teams.

What we're looking for

• Bachelor’s or Master’s degree in Data Science, Computer Science, Information Technology, Engineering, Mathematics, Statistics, or a similar field.
• Strong work experience in data science, ideally within the payments or cybersecurity industries.
• Experience building statistical and machine learning models using Python.
• Experience with large-scale distributed data processing frameworks such as Apache Spark, Hadoop, and Databricks.
• Experience in data management, mining, SQL, performance optimization, and building data pipelines.
• Excellent communication skills to translate stakeholder needs into technical solutions and report results to senior leadership.
• Previous experience with graph databases and graph machine learning including graph neural networks (preferred).