Customer Data Scientist
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Customer Data Scientist optimizing AML and fraud detection models for Hawk’s banking and payments customers. Translating model performance into compliant, measurable customer value.
Responsibilities:
- 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
Similar Jobs
Senior Data Scientist – Marketing
Senior Data Science Analyst building cross-channel brand measurement for Empower’s financial services business. Integrating marketing signals into dashboards, analyses, and actionable recommendations.
Data Manager
Data Manager managing clinical-trial databases, eCRFs, cleaning, queries, and coding. Supporting Eurofins bioskin’s dermatology-focused contract research services.
Senior AI Data Scientist – Agentic Process Development
Senior AI Data Scientist building trustworthy agentic systems to automate team.blue’s multi-country HR processes. Developing production integrations, safeguards, evaluations, and cost-efficient LLM workflows.
Data Scientist, FP&A Solutions
Data Scientist automating FP&A forecasting, predictive modeling, and financial analytics at Autodesk, whose software helps innovators design and make buildings, cars, factories, and films.
Data Scientist II
Data Scientist II developing predictive models and AI for CareSource’s healthcare operations. Analyzing large datasets and operationalizing machine-learning pipelines.
Data Scientist III
Data Scientist III developing predictive models and AI for CareSource’s operational, clinical, financial, and marketing analytics. Operationalizing machine-learning pipelines and mentoring junior data scientists.
Data Scientist – AI, Splunk
Data Scientist supporting a U.S. Government client with AI, Splunk, and cloud analytics. Detecting enterprise issues, diagnosing API performance, and designing remediation strategies.
Senior Data Scientist, SageMaker, Bedrock
Senior Data Scientist delivering production ML and GenAI solutions on AWS for startup customers. Owning SageMaker, Bedrock, fine-tuning, and customer-facing architecture projects end-to-end.
Lead Analytics Consultant, Real World Data Insights
Lead healthcare data consultant shaping pre-sales real-world evidence solutions. Analyzing linked patient data and guiding clients through feasibility, data selection, and research design.
Lead Analytics Consultant, Real World Data Insights
Lead analytics consultant guiding HealthVerity clients in using privacy-protected healthcare data. Translating real-world data into research insights, training, and post-sale solutions.
Marketing Operations, Data Manager
Marketing operations manager building analytics, SEO, attribution, and ABM infrastructure. Advancing Cyclops’ stablecoin and crypto platform for payments companies.
Data Scientist
Senior Data Scientist applying machine learning, statistical modeling, and analytics to solve organizational problems. Supporting business decisions through predictive models and data-driven insights.
Data Scientist
Senior Data Scientist using machine learning, statistical modeling, and analytics to support business decisions. Building predictive solutions and dashboards for complex organizational problems.
Senior Healthcare Data Scientist – Medicare/Medicaid
Senior data scientist developing generative AI and predictive models for GDIT’s Medicare and Medicaid fraud detection programs. Analyzing claims and CMS data to improve program integrity.
Healthcare Data Scientist – Medicare/Medicaid
Data Scientist supporting GDIT’s Medicare/Medicaid fraud, waste, and abuse analytics. Building machine-learning, generative-AI, claims-data, and visualization solutions.
Lead Insurance Data Scientist – P&C
Data Scientist building analytics, dashboards, and applications for EPIC’s commercial property-and-casualty insurance business. Operationalizing insights on Azure Databricks with engineers and stakeholders.
Configuration and Data Manager
Configuration and data manager supporting SPA’s DoD cloud-native Platform as a Service capability. Governing system baselines, data artifacts, change control, and compliance across technical teams.
Senior Manager, Data Science
Senior Data Science Manager leading AI, machine learning, and analytics for Signature Aviation’s global private aviation network. Building data platforms and coaching a high-performing analytics team.
Senior Data Science Analyst
Analista de Ciência de Dados na Nestlé, maior empresa mundial de alimentos e bebidas. Desenvolvendo modelos de machine learning e produtos de dados para soluções de negócio.
Internship – Data Scientist
Data-Science-Praktikum/Masterarbeit bei Rewoso zur Entwicklung prädiktiver Modelle aus anonymisierten Patientendaten. Analyse, Validierung und Interpretation für digitale Gesundheits- und Versorgungsanwendungen.