Customer Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $150k - $225k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Hawk

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

🏦 Banking

💳 Fintech

₿ Crypto

Banking • Fintech • Crypto

Hawk is a technology company focused on combating financial crime through advanced regulatory compliance solutions. The company provides AI-powered tools for anti-money laundering (AML) and fraud prevention services tailored for banks, payment companies, neobanks, and fintechs. Their platform offers features such as transaction monitoring, payment screening, and customer risk assessment to enhance risk coverage and operational efficiency while minimizing false positives in fraud detection.

📋 Description

• Tune and optimize detection models and thresholds using customers’ live transaction data • Investigate missed cases, alert quality, pattern drift, and detection performance • Convert analytical findings into model-tuning or configuration changes • Build customer-facing analyses showing investigator productivity gains, false-positive cost reduction, and detection improvements • Present findings directly to customers and defend methodology to their data science or compliance teams • Answer customer questions about model decisions and alert behavior • Partner with regional Customer Value Partners on account strategy, value realization, and renewal conversations • Feed customer patterns and findings into Hawk’s model and product functions • Distinguish customer-specific tuning needs from systemic product gaps • Document tuning decisions for audit and regulatory defensibility • Validate model changes through backtesting, sample review, and sign-off before production deployment

🎯 Requirements

• 5–7 years as a data scientist in a customer-facing role • Direct experience presenting analysis and defending model decisions to clients • Required experience in AML, fraud detection, or financial crime analytics • Understanding of transaction monitoring, typologies, and investigator false-positive costs • Hands-on proficiency with Python and SQL • Experience with production machine-learning tooling • Ability to serve as technical voice with risk, compliance, or data science stakeholders • Ability to translate model performance into actionable business value • Comfort working with ambiguity and live production systems • Ownership mentality and proactive investigation of detection-performance drift • English fluency in speaking, reading, and writing is required by the application form • Ability to work onsite 2–3 days per week if using the hybrid work model • Bonus: transaction monitoring or payments fraud detection experience at a bank, payment provider, or vendor • Bonus: familiarity with explainable AI and rules-based hybrid detection approaches

🏖️ Benefits

• Remote workplace designation • Hybrid work model option with onsite work 2–3 days per week at supported office locations • Equal employment opportunity • Voluntary self-identification and confidential handling of demographic information • Opportunity for professional growth • Opportunity to make a difference in the global fight against money laundering, fraud, and terrorist financing