C2C Data Scientist Predictive AI at Morristown

Job Title:

Data Scientist with Predictive AI

Location:

Morristown New Jersey
Duration: 12+ months Contract
12+ Years of Experience

Skills:

Artificial Intelligence (AI), AML, Google Data Engineering

• Retrain and calibrate governed predictive models for AML compliance, fraud, and core FS use cases to improve precision/recall and reduce false positives.
• Relevant work experience in fintech fraud risk, with deep understanding of money movement products, banking, lending, and fraud detection data.
• Deliver customer segmentation, anomaly detection, and forecasting solutions by applying hands‑on ML expertise to ship production-ready models in financial services.
• Leverage experience across credit risk and fraud to design, deploy, monitor, and maintain models (deep learning, tree-based, reinforcement learning, clustering, time series, causal methods, and NLP) with a deep understanding of payment systems, money movement, banking, and lending.
• Continuously monitor model performance, drift, and stability; define thresholds and trigger retraining with clear acceptance criteria.
• Partner with ML Engineering to provide L2/L3 production support—triage incidents, perform root‑cause analysis, and implement hotfixes within MLOps guardrails.
• Engineer features and prepare training/eval datasets with Data Engineering; contribute to the design and rollout of a reusable feature store.
• Document models, assumptions, and controls; perform structured handoffs to MLOps/ML Engineering for compliant deployment.
• Write production-quality code for DS workflows (SQL, Python); use advanced Excel for analysis/reporting; enforce testing and reproducibility.
• Ability to quickly develop a deep statistical understanding of large, complex datasets.
• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models.
• Strong business problem solving, communication and collaboration.

• Database
• SQL
• Python
• Data Robot
• Snowflake
• Git Hub

• Actimise experience
• Basic familiarity with AML model tuning and testing processes.

Education:

At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or a closely related field is required.