Description

Key Skills: Machine Learning, Deep Learning, Statistical Analysis, Python, Data Science, Fraud Detection, Anomaly Detection, Time Series Analysis, AWS, Apache Spark

Good to Have Skills: Experience with generative modeling, multi-modal representation learning, sparse labeling methods, user behavior analysis, EC2, S3, EMR, SageMaker, RedShift, programmatic advertising, petabyte-scale data processing, research publication experience, mentoring skills.

Roles & Responsibilities:

• Define and frame new research problems in fraud detection where neither problem nor solution is well-defined.
• Apply new machine learning approaches, models, and algorithms to detect sophisticated invalid traffic.
• Apply domain knowledge to perform broad data analysis as a precursor to modeling and build business insights.
• Work with unstructured and massive datasets to deliver actionable results for fraud detection systems.
• Produce research reports meeting top-tier external publication standards for academic and industry conferences.
• Mentor and develop junior scientists on the team to enhance their technical and research capabilities.
• Process billions of ad events daily using advanced algorithms that balance precision and recall under strict latency constraints.
• Protect hundreds of millions of dollars in advertiser spend annually while maintaining seamless user experience

Key Skills

Education

Any Graduate