Associate Data Scientist
@ Visa

Ashburn, Virginia, United States
On Site
Full-time
Posted 2 days ago

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Job Details

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.

📝 Interview Preparation Advice

Technical Preparation

Review Python data science libraries.
Practice SQL queries on large datasets.
Brush up on Spark and Hadoop fundamentals.
Test ML and deep learning algorithm knowledge.

Behavioral Questions

Describe handling complex data projects.
Explain teamwork in high-pressure situations.
Discuss learning from project failures.
Detail a challenge overcoming ambiguous tasks.

Frequently Asked Questions