Staff Data Scientist (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Staff Data Scientist (AI/Fintech): Developing and operationalizing data-driven solutions and GenAI agents for the RiskOS platform with an accent on fraud prevention, risk analytics, and scalable ML pipelines. Focus on designing LLM-powered tools for case investigations and building production-grade infrastructure for identity trust.
Location: Remote (Must be based in the US)
Salary: $175,000 – $205,000
Company
is building the identity trust infrastructure for the digital economy to eliminate identity fraud and ensure online trust across industries.
What you will do
- Develop advanced analytics on RiskOS data to identify fraud patterns and improve risk strategies.
- Architect scalable data pipelines and production ML workflows for both batch and streaming use cases.
- Lead the design and evaluation of Generative AI solutions, including LLM agents and prompt-based tools.
- Build core DS infrastructure such as feature stores, model-serving APIs, and monitoring frameworks.
- Deploy production-grade solutions with integrated telemetry, alerting, and feedback loops.
- Mentor other data scientists and set company-wide standards for ML and GenAI explainability.
Requirements
- Must be based in the US; sponsorship is not provided now or in the future.
- Master’s or PhD in a quantitative field or equivalent professional experience.
- 6+ years of experience in data science, ML, or data engineering, specifically in fraud/risk analytics.
- Proven track record of applying Generative AI (LLMs, RAG, agents) in production contexts.
- Deep proficiency in Python, SQL, and ML frameworks (scikit-learn, XGBoost, TensorFlow, or PyTorch).
- Experience with modern data platforms like Databricks, Spark, or BigQuery.
Nice to have
- Direct experience with identity verification, fraud/risk modeling, or trust & safety.
- Prior work on orchestration platforms, case-management tools, or decision engines.
- Experience mentoring senior ICs and setting technical direction for a data science group.
Culture & Benefits
- Competitive compensation including equity and bonus opportunities.
- High-responsibility environment for individuals who move fast and act like owners.
- Opportunity to solve complex, high-impact identity problems at a global scale.
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