Publié il y a 15 jours
Senior Data Scientist - Fraud Detection
@ DataVisor
Toronto, ON · Vancouver, BC · Calgary, AB
En bref
DataVisor is hiring a Senior Data Scientist for its Fraud Detection team to build production machine learning fraud models and lead investigations into specific fraud attacks. Candidates need a Master's or PhD, 3+ years of applied fraud or risk experience, and strong Python and SQL skills.
Responsabilités :
- Lead end-to-end fraud detection model development
- Engineer features from large, noisy, imbalanced datasets
- Lead investigations into complex fraud cases
- Produce evidence-backed technical reports and trend reports
Résumé des exigences :
- Master's or PhD in a quantitative field
- 3+ years of fraud, cybersecurity or risk experience
- Strong Python and SQL skills
- Experience with production machine learning lifecycle
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-10-26
- Première détection par notre source
- 2026-10-11
- Mise à jour du dossier source
- 2026-10-27
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 3 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Maîtrise (exigé), Doctorat (exigé) |
| Domaines d’études | Computer Science, Statistics, Mathematics |
| Avantages mentionnés | Congés payés généreux, Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
DataVisor
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
The most powerful AI fraud and AML detection platform trusted by the world's largest brands.
Description complète de l’entreprise
DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention. As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.
- Abonnés LinkedIn
- 66 918
- Personnes associées sur LinkedIn
- 164
- Bureaux déclarés
- 967 N Shoreline Blvd, Mountain View, California 94043, US
- Catégories d’activité
- Cyber Security
- Fraud Detection
- Artificial Intelligence
- Software
- Internet
- Security
- Artificial Intelligence (AI)
- Big Data
- Machine Learning
- Autres noms enregistrés
- DataVisor
- Spécialités
- Fraud Detection
- Fraud Prevention
- Artificial Intelligence
- Unsupervised Machine Learning
- Machine Learning
- AI Solutions
- Anti-Money Laundering
- Fraud Protection
- Agentic AI
- AI Fraud Detection
- and Real-time Decisioning
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 94 500 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention. As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 51-200 employees |
| Siège social | Mountain View, California |
| Type d’organisation | Privately Held |
| Fondée en | 2013 |
| Spécialités | Fraud DetectionFraud PreventionArtificial IntelligenceUnsupervised Machine LearningMachine LearningAI SolutionsAnti-Money LaunderingFraud ProtectionAgentic AIAI Fraud Detection |
| Offres sur Jobsy | 18 |
| Voir la page |
About DataVisor
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!
Position Overview
We are looking for a Senior-Level Data Scientist to join our Fraud Detection team — someone equally comfortable building production ML models and getting hands-on with individual fraud cases. This is a dual-track role: you'll develop the machine learning systems that catch fraud at scale, and you'll personally lead investigations into how specific fraud attacks happened, reconstructing attacker behavior and turning case-level findings into trend reports and detection improvements. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real, visible impact in the fight against fraud.
Key Responsibilities
Machine Learning & Model Development
- End-to-End Model Development: Lead the full lifecycle of fraud detection features and models, from ideation and data exploration to prototyping, productionizing, and monitoring.
- Advanced Feature Engineering: Develop highly predictive features from complex, large-scale, multi-dimensional data, including user behavior, device intelligence, network graphs, and transaction records.
- Large-Scale Data Processing: Work with massive, noisy, and imbalanced datasets (billions of events) using tools like Spark, SQL, and our proprietary AI platform.
- Agentic AI & Automation: Leverage agentic AI to automate analytic pipelines and develop reusable skill tools that accelerate fraud investigation, feature generation, and reporting workflows.
Live Fraud Investigation & Reporting
- Lead investigations into complex fraud cases across identities, accounts, devices, and transaction surfaces. Reconstruct attacker sequences and hypothesize actor intent and tooling.
- Produce clear, evidence-backed technical reports and case studies for product, engineering, operations, legal, and executive stakeholders.
- Generate fraud trend reports for customers, synthesizing case-level findings and aggregate data into narratives customers can act on.
Requirements
Qualifications
Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 3+ years of applied experience in fraud detection, cybersecurity, or a related adversarial/high-velocity risk domain (fintech, consumer payments, banking, SaaS, marketplace risk, or security research).
- Solid understanding of both classic machine learning models (Logistic Regression, Gradient Boosting, etc.).
- Hands-on experience with the machine learning lifecycle in a production environment.
- Investigator mindset: demonstrated skill in pattern synthesis, hypothesis testing, and triaging signal from noise in ambiguous, adversarial cases — not just building and monitoring models.
- Strong programming skills in Python (must-have) and proficiency with SQL; experience with PySpark is a significant plus.
- Experience with large-scale data tools (Spark, Hadoop, etc.) and cloud platforms (AWS, GCP, Azure).
- Excellent communication skills — able to explain complex, ambiguous, or technical behavior clearly to both technical and non-technical audiences, including customers and executives.
- Professional proficiency in written and spoken English, with the ability to collaborate effectively in a global, cross-functional team.
Benefits
- Base salary range: $120,000–$150,000, commensurate with experience.
- PTO, Stock Options, Health Benefits
Journal
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