Data Scientist, AI Solutions

Datavisor, Inc.
Mountain View, CA, United States
5 days ago
Apply on www.careerbuilder.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$120,000.0
Working hours
Regular working hours

Tech stack

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
+6 more
Scikit Learn Information Technology Feature Selection Virtual Agents Human in the Loop Unsupervised Learning

Job description

We are seeking a hands-on Data Scientist to serve as the ā€œArchitect of Efficacyā€ 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 ā€œCold Startā€ 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 ā€œCold Startā€ 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 ā€œHuman-in-the-Loopā€ 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.

Requirements

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).

Benefits & conditions

  • Salary ranges between USD 120,000 and 170,000.
  • Total compensation includes base salary, performance bonuses, and equity options.
  • Comprehensive medical, dental, and vision insurance coverage.
  • 401(k) retirement savings plan available.
  • Flexible Time Off (FTO) plus paid holidays.
  • Opportunities for research, development, and professional advancement.
  • Regular team-building events in a collaborative and innovative work environment.

About the company

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!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com
Prepare application

Good distractions

Loading talks and stories from around this role…