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# Data Scientist, AI Solutions

- **Company:** Datavisor, Inc.
- **Location:** Mountain View, CA, United States
- **Salary:** $120,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software as a Service, Payment Systems, Fraud Prevention and Detection, Graph Theory, Python (Programming Language), Link Analysis, Machine Learning, NumPy, SQL Databases, Large Language Models, Pandas, Scikit Learn, Information Technology, Feature Selection, Virtual Agents, Human in the Loop, Unsupervised Learning
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-ai-solutions-mountain-view-ca--3a60f2c3-c76e-455f-bf5c-0ed381515832

## About the Role

Data Science, Artificial Intelligence (AI), Machine Learning, Risk, Artificial Intelligence (AI), Software as a Service (SaaS), Total Cost of Ownership, Use Cases, Fortune 500 Customers, Money Laundering, * Education: BS or MS in Computer Science, Statistics, Mathematics, Engineering, or a related discipline.

 * Experience: Minimum 1 year of hands-on experience in Data Science or Advanced Analytics.
 * Technical Core: Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
 * Statistical Rigor: Solid foundation in statistical modeling, feature selection, and performance evaluation (Precision/Recall, AUC, KS)., * Experience with graph theory or link analysis for detecting network-based fraud.
 * Familiarity with unsupervised learning techniques or anomaly detection.
 * Previous experience working in a high-growth SaaS or Fintech environment.
 * Domain Knowledge: Familiarity with Fraud Detection, Credit Risk, or Trust & Safety, including knowledge of payment rails (FedNow, ACH, Wire) and typologies (Synthetic ID, ATO, Kiting).

## Description

We are seeking a hands-on Data Scientist to serve as the "Architect of Efficacy" for our AI-Powered Fraud and AML Solutions suite. In this role, you will move beyond simple analysis to build the mathematical core of our product. You will design pre-built detection strategies that provide immediate protection for new clients, solving the industry-wide "Cold Start" problem. Working at the intersection of research and product, you will collaborate closely with our Product, Strategy, Data Science, Delivery, and Engineering teams to translate complex fraud patterns into scalable, automated defenses., * Develop Pre-Built Detection Models: Design, back-test, and optimize statistical baselines and machine learning strategies for our core solution modules, including Real-Time Payments (RTP), ACH, Wire, Check, and Application/Onboarding.

 * Build the Global Consortium: Help design and stand up DataVisor's cross-industry fraud intelligence network - defining which signals to collect, how to normalize them across clients, and how to turn shared device and behavioral data into detection that generalizes.
 * Architect "Cold Start" Logic: Create generalized scoring models that deliver immediate value to new clients, ensuring they are protected against known threats even before their historical data is fully integrated.
 * Validate AI Agent Logic: Serve as the expert "Human-in-the-Loop" for our AI-driven strategy engine, rigorously testing and validating automated fraud detection logic to ensure safety, transparency, and low false positive rates.
 * Cross-Functional R&D: Collaborate with Product, Strategy, Data Science, Delivery, and Engineering teams to explore and implement state-of-the-art machine learning and large language model (LLM) capabilities, providing the statistical rigor needed to turn experimental concepts into production-grade features.