Senior Data Scientist – Global Security

Senior Data Scientist – Global Security

Requirements

• At least an undergraduate degree (PhD. or Masters preferred) in a quantitative field (Engineering, Statistics, Mathematics, Computer Science, Economics, Sociology, Psychology etc.)
• Advanced programming skills (python, pyspark) and experience in developing machine learning models using supervised and unsupervised approaches; experience with data preprocessing, feature and representation learning, anomaly/outlier detection
• Strong data sense, critical thinking, and technical documentation skills
• A passion for simplifying and automating work, making things better, continuous learning, solving open-ended problems, improving efficiency, and helping others
• Strong communication skills with ability to work cross-functionally to articulate, measure and solve issues

Responsibilities

• Work closely with stakeholders to understand their needs and build solutions using advanced machine learning methods in the domains of fraud, cybersecurity, and data privacy
• Design and implement end-to-end data pipelines: from data cleaning to model development to writing production level code
• Implement supervised and unsupervised machine learning models, data mining methods, statistical analysis, and pipelines to prepare and integrate various data types and sources
• Quickly learn new methods, big data tools and technologies presented in research communities to implement and adapt within our data products and models
• Collaborate proactively with various business and operation units to design innovative solutions to optimize processes and deploy production-scale solutions
• Work on challenging and research-based initiatives using advanced machine learning methods focusing on tangible outcomes

Preferred Qualifications

• Previous experience in cybersecurity/fraud domains
• Experience with MLOps to build end-to-end pipeline and deploying models in production
• Experience with graph analytics