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.
Position Overvie
w:
We are looking for a motivated Data Scientist to join our Fraud Detection team.
In this role, you will leverage your machine learning and data analysis skills to identify fraudulent activities, build predictive models, and uncover hidden patterns in large datasets.
You will work closely with cross-functional teams to develop scalable solutions that enhance our fraud detection capabilities. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real impact in the fight against fraud.
Key Responsibilit
iesEnd-to-End Model Development: Lead the full lifecycle of fraud detection features and models, from ideation and data exploration to prototyping, productionizing, and monitori
ng
Advanced Feature Engineering:
Develop highly predictive features from complex, large-scale, multi-dimensional data, including user behavior, device intelligence, network graphs, and transaction recor
ds
Algorithm Innovation:
Research, design, and implement state-of-the-art machine learning algorithms, combining supervised, unsupervised, and semi-supervised techniques to detect novel and evolving fraud patter
ns
Large-Scale Data Processing:
Work with massive, noisy, and imbalanced datasets (billions of events) using tools like Spark, SQL, and our proprietary AI platfo
rm
Cross-Functional Collaboration:
Partner closely with Engineering to ensure robust, low-latency model deployment and with Product Management to translate complex client needs into technical solutio
ns
Fraud Strategy & Analysis:
Conduct deep-dive analyses on fraud attacks, extract actionable insights, and translate them into improved detection strategies and rul
es
Mentorship:
Provide technical guidance and mentorship to junior data scientists, fostering a culture of excellence and continuous learni
ng.
Requirem
entsMaster's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative fi
eld.5+ years of professional experience in data science, with a significant focus on fraud detection, cybersecurity, or a related adversarial dom
ain.
Deep, hands-on experience with machine learning lifecycle in a production environm
ent.
Strong programming skills in Python (must-have) and proficiency with SQL. Experience with PySpark is a significant p
lus.
Solid understanding of both classic machine learning models (Logistic Regression, Gradient Boosting, etc.) and modern techniques (Deep Learning, Graph Neural Networ
ks).Proven experience with feature engineering and a keen intuition for what makes a feature predictive and robust in a dynamic environm
ent.
Experience with large-scale data tools (Spark, Hadoop, etc.) and cloud platforms (AWS, GCP, Azu
re).Professional proficiency in written and spoken English, with the ability to collaborate effectively in a global, cross-functional t
eam.
Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audien
ces.
Based in J
apanBene
fitsCompensation:
Annual salary range of JPY 6MM-12MM, commensurate with experie
nce
.PTO
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