Senior Data Scientist
Core
Senior Data Scientist in Customer Success who activates, maintains, and supports clients by developing models and rules to prevent financial crime.
Role type
Senior IC data scientist (customer-facing)
Builds
Production ML models and rules for fraud and money laundering prevention
Domain
Financial services / Anti-fraud / AML
Deliverable
production ML models
Required skills
Machine Learning, Big Data technologies, Python, Java or Scala, Bash, Statistics, Tree-based algorithms
Preferred skills
Fraud & Digital business domain experience, Customer facing experience, Data visualization
Technologies
Spark, Hadoop, Python, Java, Scala, Bash, Random Forests, XGBoost, LGBM
Responsibilities
Clean and validate client data, preprocess data using shell scripts and programming languages, iteratively compute features and tune model parameters, communicate findings to project managers, collaborate with client stakeholders (data scientists, engineers, risk managers), work with internal teams to improve processes and tooling
Seniority
Senior, hands-on IC
