Senior Data Scientist

Key Skills

Data science techniques, Database, Effective communication skills, Python Programming, SQL, Statistics

Job Description

The impact you'll have here:

• Lead the development of advanced machine learning and statistical models tailored to identify patterns and anomalies associated with cryptocurrency fraud and financial crime. These models will help detect potential threats and provide valuable insights for law enforcement agencies.
• Develop custom models, 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. This will involve working with distributed ledger technologies, cryptographic protocols, and transactional data to uncover suspicious activities.
• Create interactive visualizations that allow law enforcement agencies to explore and understand complex blockchain data easily. These visualizations will enable investigators to navigate through the data effectively and identify key insights related to potential fraud and financial crime.
• As a leader in the team, you will collaborate closely with engineers, data scientists, and research scientists to align on project goals, methodologies, and deliverables. You will communicate your findings and insights effectively to both technical and non-technical stakeholders.
• You will stay up to date with the latest developments in the field of blockchain technology, cryptocurrencies, and financial crime. This will involve continuous learning, attending conferences, and exploring research papers to incorporate cutting-edge techniques into your work.
• Develop your skills through exceptional training as well as frequent coaching and mentoring from colleagues
• Establish best practices and statistical rigor around data-driven decision-making

What we're looking for:

• Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics. Advanced degree preferred.
• You have 4+ years of experience working in an analytical role.
• 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 working knowledge of relational databases, (e.g. SQL)
• 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 have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.
• You are delivery-oriented, able to lead and execute modeling efforts from start to finish
• You have excellent verbal and written communication skills and experience in influencing decisions with information.

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $157,000 - $192,255
• Additionally, this role may be eligible to participate in TRM’s equity plan.
• Please note – we factor in the different costs for geographies outside the United States.