Senior Data Scientist - Fraud
MercuryFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This is an onsite position.
Candidates need hands-on experience with SQL databases, Python, data warehousing platforms, and a background in analytics, plus experience managing data pipelines, ETL workflows, or real-time monitoring systems.
Demonstrated success in building and managing a high-performing data or analytics team is required.
The ability to communicate complex analytical concepts clearly to executives, customers, and cross-functional partners is essential, along with fluency in English and Hebrew.
Strong candidates will have hands-on technical experience in SQL, Python, and data pipelines, proven success managing high-performing analytics teams, clear communication skills, and fluency in English and Hebrew; familiarity with machine learning for fraud detection is a nice-to-have.
Cryptocurrency investigation and compliance solutions
Chainalysis provides tools and services for investigating and ensuring compliance in the cryptocurrency space. Their products help law enforcement agencies, regulators, and businesses identify and prevent illegal activities involving digital currencies. The company offers subscription-based software solutions that deliver actionable intelligence and analytics, allowing clients to maintain the integrity of their financial operations. Unlike many competitors, Chainalysis focuses specifically on building trust in blockchain technology by promoting transparency and security in cryptocurrency transactions.