Associate Data Scientist @ Visa
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Company Description
Visa is a world leader in payments and technology, processing over 259 billion payment transactions annually in more than 200 countries and territories. Their mission is to connect the world through an innovative, convenient, and secure payments network.
Job Description
As part of the Cyber Threat Analytics and Research (CTAR) team, the Associate Data Scientist will leverage cutting-edge technologies to perform statistical profiling, inference, classification, clustering and predictive analysis. The role involves creating and implementing sophisticated machine learning models to derive insights for defending against cyber-attacks.
- Analyze cyber event logs using Spark and big data tools.
- Develop technical models for identifying unseen threats.
- Implement deep learning models to build user behavior profiles.
- Conduct feature engineering and manage feature stores.
- Utilize Generative AI and fine tune LLMs for anomaly detection.
- Collaborate with data scientists and engineers to develop analytical software.
Additional Responsibilities
Assist in shaping the direction and lifecycle management of Information Security architecture. Communicate clear data insights to technical and non-technical stakeholders.
Work Arrangement
This is a hybrid position with office days as confirmed by your hiring manager.
Qualifications
Basic: Minimum 6 months work experience or a Bachelor's Degree.Preferred: 2+ years work experience or less than one year with a master's degree in a related quantitative discipline, experience in building machine learning, deep learning, and AI models, familiarity with Generative AI/LLM, Python, SQL, and big data technologies like Hadoop, Spark, or Hive.
Key skills/competency
Associate Data Scientist, machine learning, deep learning, Generative AI, statistical analysis, data modeling, Python, SQL, Spark, cybersecurity.
How to Get Hired at Visa
🎯 Tips for Getting Hired
- Research Visa's culture: Study their mission, values, and recent news.
- Customize your resume: Highlight ML and cybersecurity experience.
- Review technical skills: Brush up on Python, SQL, Spark, and AI.
- Practice data challenges: Prepare for technical and behavioral interviews.