Data Scientist II - Global Watchlist

Socure • Carson City, NV

3d

About The Position

As a Data Scientist II at Socure, you will occupy a high-impact, "bridge" role between our core Watchlist R&D and the Data Science Customer Applications (DSCA) teams. Your mission is to accelerate the transition from model development to real-world deployment by building the automated analysis frameworks and monitoring systems that drive customer success. You won’t just build models; you will create the technical connective tissue—including high-performance pipelines and custom dashboards—that allows Socure to onboard clients faster, resolve complex issues effectively, and continuously improve our models through a closed-loop feedback system.

Requirements

• Education: Bachelor’s degree in a quantitative field (Computer Science, Statistics, Mathematics, or similar) with 3–5 years of experience —or— a Master’s/Ph.D. with 1–3 years of experience.
• Technical Proficiency: Strong programming skills in Python and SQL, with hands-on experience in Spark and Databricks.
• Pipeline & Infrastructure: Experience with Airflow for orchestration and a working knowledge of Infrastructure as Code (e.g., Terraform) and AWS environments.
• Analytical Rigor: Solid grasp of descriptive statistics, hypothesis testing, and model evaluation metrics (Precision, Recall, F-beta, ROC-AUC).
• ML & Data Engineering: Practical experience in data curation, labeling strategies, and building automated data-quality validation checks.
• Communication & Impact: Excellent ability to communicate complex technical findings to both R&D peers and non-technical stakeholders.
• Passion for the Domain: A strong interest in NLP, LLMs, and staying ahead of the curve in compliance and regulatory technology.

Nice To Haves

• Experience with Elasticsearch and real-time data indexing.
• Background in AML (Anti-Money Laundering), Sanctions Screening, or Identity Fraud prevention.
• Prior experience in a "Customer Data Science" or "Solutions DS" role where you built tools for internal or external stakeholders.

Responsibilities

• Develop Analysis Frameworks: Design and maintain scalable frameworks that allow the DSCA team to perform fast, effective client resolutions during POCs, onboarding, and for existing production customers.
• Bridge R&D and Operations: Act as the primary technical liaison between Watchlist DS and DSCA, translating complex model behaviors into actionable insights for customer-facing teams.
• Build Monitoring & Alerting Systems: Create and manage mission-critical dashboards and real-time alert systems to monitor model performance, identify drift, and surface false positives/negatives at a sub-segment level.
• Drive Closed-Loop Model Improvement: Systematically monitor customer production data and POC findings to integrate real-world feedback back into the core model development cycle.
• Enhance In-House Pipelines: Build and optimize end-to-end data pipelines (using Spark and Airflow) that support custom reporting and automated performance tracking for Watchlist POCs.
• Collaborate Cross-Functionally: Work closely with Product, Engineering, and Compliance to translate customer needs and regulatory requirements into measurable machine-learning objectives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees