Data Scientist – AI & Data Platforms
Core
Own the design, build, and evaluation of LLM-based and classical ML models for classification, entity extraction, and risk scoring on large-scale, real-world data to power fraud and risk detection products.
Role type
Senior IC data scientist (LLM & ML)
Builds
LLM-powered and classical ML models for fraud and risk detection
Domain
Internet risk, fraud detection, AI/ML
Deliverable
production ML models
Required skills
LLM prompt engineering, classical ML modeling, Python, large-scale data processing, cloud-native systems, statistical judgment on noisy data
Preferred skills
Apache Spark, Kafka, Kubernetes, Docker, Terraform, CI/CD, vector databases
Technologies
AWS, Apache Spark, Kafka, Kubernetes, Docker, EMR, Airflow, Iceberg, Delta Lake, GitHub Actions
Responsibilities
Design and evaluate LLM and classical ML models for risk scoring; Lead prompt design and iteration for LLMs; Partner with engineers to ship models into real-time streaming pipelines; Build measurement frameworks for production systems and offline experiments; Analyze production data to identify labeling gaps and false-positive patterns; Drive experimentation (A/B tests, shadow deployments) with measurable business outcomes
Seniority
Senior, hands-on IC
