Senior Data Scientist - Advanced Analytics

May 9

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TRM Labs

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Blockchain • Cybersecurity • Finance

TRM Labs is a company that delivers blockchain intelligence to detect crypto-facilitated crime and ensure compliance and safety worldwide. Their services include forensics, tactical transaction monitoring, wallet screening, and know-your-entity solutions. TRM Labs supports government agencies, financial institutions, and crypto businesses globally by providing blockchain investigations and risk management solutions to combat fraud and financial crime. They are trusted by leading organizations to help prove crypto cases in court and build safer financial systems.

51 - 200 employees

🔒 Cybersecurity

💸 Finance

💰 $70M Series B on 2022-11

📋 Description

• TRM Labs is a blockchain intelligence company committed to fighting crime and creating a safer world. • As a Senior Data Scientist, you will have end-to-end ownership of critical analytics products for TRM’s customers. • Lead the implementation of new advanced analytics products that allow our customers to explore and uncover hidden insights through complex blockchain data. • Lead the roadmap and prioritisation of the analytics customer products suite based on market demands. • Develop complex statistical analysis, algorithms, and interactive visualizations that will be consumed by former FBI, Secret Service, and Europol agents and analysts to detect new threat vectors unique to cryptocurrencies and blockchains. • Collaborate with engineers and research scientists to design algorithms to analyze complex data structures inherent to cryptocurrencies and blockchains.

🎯 Requirements

• Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics. Advanced degree preferred. • You have 8+ years of experience working in an analytical role. • You have customer facing experience and you enjoy sitting with the customers to understand their challenges. • You have a strong knowledge of relational databases, (e.g. SQL). • You have proven experience with at least one programming language (Python preferred) and are comfortable developing code in a team environment (e.g. git, notebooks, testing). • You have a strong experience building scalable data and analytics products from design to deployment phases. • You think about data in terms of statistical distributions and have a big enough analytics toolbox to know how to find patterns in data and identify targets for performance. • You are delivery-oriented and you are experience in a face-paced environment. • You have excellent verbal and written communication skills and experience in influencing decisions with information. • You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.