DataVisor

Technology

DataScientist,AISolutions

$120–170k Mountain View, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Scientist, AI Solutions at DataVisor. Skills: AI Solutions, Fraud Detection, Machine Learning, Data Science. Design pre-built detection models. Back-test detection models”

What You'll Achieve.

Deliver immediate value to new clients; Ensure protection against known threats; Provide significant performance lift from day one

Industry & Context.

Technology
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

MS in Computer Science, Statistics, Mathematics, Engineering, or related discipline, Minimum 1 year of hands-on experience in Data Science or Advanced Analytics, Proficiency in Python (Pandas, NumPy, Scikit-learn), Proficiency in SQL, Solid foundation in statistical modeling, Solid foundation in feature selection, Solid foundation in performance evaluation (Precision/Recall, AUC, KS)

Nice to Have

Experience with graph theory or link analysis, Familiarity with unsupervised learning techniques, Familiarity with anomaly detection, Previous experience working in a high-growth SaaS environment, Previous experience working in a Fintech environment, Familiarity with Fraud Detection, Familiarity with Credit Risk, Familiarity with Trust & Safety, Knowledge of payment rails, Knowledge of typologies

What You'll Do.

Design pre-built detection models

Back-test detection models

Optimize statistical baselines

Optimize machine learning strategies

Analyze large-scale data

Identify high-risk device fingerprints

Identify patterns of organized fraud

Transform insights into features

Create generalized scoring models

Serve as expert Human-in-the-Loop

Test automated fraud detection logic

Validate automated fraud detection logic

Collaborate with Product teams

Collaborate with Strategy teams

Collaborate with Data Science teams

Collaborate with Delivery teams

Collaborate with Engineering teams

Explore state-of-the-art machine learning

Implement state-of-the-art machine learning

Explore LLM capabilities

Implement LLM capabilities

Provide statistical rigor

How You'll Work.

Team & Collaboration

Product teams; Strategy teams; Data Science teams; Delivery teams; Engineering teams

Full Job Description

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! ### Role Summary 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. ### Responsibilities * 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 Applica

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