Senior Data Scientist
Core
Building and maintaining machine learning models and rules to detect financial crime, fraud, and money laundering for global banking and payment clients.
Role type
Senior Data Scientist (Customer Success)
Builds
Production ML models and risk prevention rules for financial institutions
Domain
Financial services / Anti-fraud / Machine Learning
Deliverable
production ML models
Required skills
Machine Learning, Big Data technologies (Spark, Hadoop), Python, Java or Scala, Bash, Statistics, Data visualization, Tree-based algorithms, Deep Learning
Preferred skills
Resource monitoring, Runtime optimization
Technologies
Spark, Hadoop, Python, Java, Scala, Bash
Responsibilities
Understanding and cleaning client data, Preprocessing data using shell scripts and programming languages, Iteratively computing features and tuning model parameters, Communicating findings to project managers, Collaborating with client stakeholders (data scientists, engineers, risk managers), Improving organizational processes and tooling
Seniority
Senior, hands-on IC
