Customer Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Fine-tune and enhance detection models and thresholds utilizing live transaction data from customers.

• Analyze overlooked cases, alert quality, pattern shifts, and detection effectiveness.

• Transform analytical insights into model adjustments or configuration modifications.

• Create customer-facing reports illustrating improvements in investigator productivity, reductions in false-positive costs, and advancements in detection.

• Directly present findings to customers and justify methodologies to their data science or compliance teams.

• Address customer inquiries regarding model decisions and alert behaviors.

• Collaborate with regional Customer Value Partners on account strategies, value realization, and renewal discussions.

• Integrate customer patterns and insights into Hawk’s modeling and product functions.

• Differentiate customer-specific tuning requirements from overarching product deficiencies.

• Document tuning decisions for audit trails and regulatory compliance.

• Validate model modifications through backtesting, sample evaluation, and approval prior to production launch.

⛳️ Requirements

• 5–7 years of experience as a data scientist in a client-facing capacity.

• Proven experience in presenting analyses and justifying model decisions to clients.

• Necessary background in AML, fraud detection, or financial crime analytics.

• Knowledge of transaction monitoring, typologies, and costs associated with investigator false positives.

• Proficient in Python and SQL.

• Experience with production-level machine learning tools.

• Ability to represent the technical perspective to risk, compliance, or data science stakeholders.

• Capability to translate model performance into tangible business outcomes.

• Comfortable navigating ambiguity and working with live production systems.

• Ownership mindset and proactive approach to investigating detection performance variations.

• Fluency in English, both spoken and written, is required as per the application form.

• Willingness to work onsite 2–3 days per week if utilizing the hybrid work model.

• Bonus: Experience in transaction monitoring or payments fraud detection at a bank, payment provider, or vendor.

• Bonus: Familiarity with explainable AI and rules-based hybrid detection methodologies.

🏝️ Benefits

• Designated remote work environment.

• Option for a hybrid work model with onsite presence 2–3 days per week at supported office locations.

• Commitment to equal employment opportunities.

• Voluntary self-identification and confidential management of demographic data.

• Opportunities for professional development.

• Chance to contribute to the global battle against money laundering, fraud, and terrorist financing.