Staff Engineer owning analytics architecture and data modeling at Oscilar, an AI risk decisioning platform for fraud, credit, and compliance. Building tiered data infrastructure, optimizing database performance, and shaping long - term analytics platform strategy.
About the role
- Senior Data Engineer on the Graph Analytics team building scalable systems for analyzing cryptocurrency transactions. Collaborating with data scientists and engineers to design graph algorithms.
Responsibilities
- Build scalable graph systems to analyze networks of cryptocurrency transactions
- Collaborate with engineers and data scientists to design graph algorithms
- Implement real-time graph algorithms using distributed databases
- Identify opportunities to apply graph theory in predictive learning problems
- Research new graph-native technology and evaluate its benefits for teams
- Understand and refine risk models for cryptocurrency transactions
- Communicate complex implementation details clearly to various stakeholders
Requirements
- Academic background in a quantitative field such as Computer Science, Mathematics, Engineering, or Physics.
- Strong knowledge of algorithm design and data structures
- Experience optimizing large-scale distributed data processing systems such as Apache Spark, Apache Hadoop, or Dask
- Experience converting academic research into products
- Strong programming experience with Python and SQL
- Excellent communication skills tailored for technical and non-technical audiences
- Self-motivated with minimal guidance and comfortable working with ambiguity
- Knowledgeable of basic graph theory concepts.
Benefits
- Building a safer world through AI-powered intelligence solutions
- Flexible work arrangements
- Culture of trust, transparency, and adaptability
- Frequent communication and collaboration
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