Data Scientist, Sr. Consultant - Cybersecurity AI Research & Products

Ashburn, VA, United States

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Visa

Das digitale und mobile Zahlungsnetzwerk von Visa steht an der Spitze der neuen Zahlungstechnologien für die neue Zahlung, elektronische und kontaktlose Zahlung, die die Welt des Geldes bilden

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Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

We are looking to hire a senior Data Scientist to lead the AI/ML initiatives in the Cybersecurity Products team. This position will be based out of Ashburn, VA. In this role, you will:

  • Be responsible for driving, designing, and building cutting edge innovation in the space of cybersecurity through Artificial Intelligence and Machine Learning - current scope of problems includes behavior biometrics, risk-based authentication, Account Takeover protection, advanced threat detection, smart incident response, AI model threat analysis, and many more.  

  • Drive the continued innovation and engineering of our existing behavior-based adaptive authentication product and bot/fraud protection product with a high-performance team of data scientists and engineers.

  • Build innovative solutions and collaborate with engineering and product partners across the global Visa organization that help secure Visa against a variety of threats and attacks.

  • Provide consultation to more experienced leaders in order to recommend solutions which solve security & other business challenges.

You must have strong technical depth and experience in application of Machine Learning, Deep Learning, and Data Science techniques.  On top of that, you should also have a genuine interest in cybersecurity and a desire to build solutions that deliver real impacts to the world. We will rely on your leadership to establish a roadmap and vision as this team engages in existing and new emerging areas.  

Essential Functions

  • Cyber Analytics Product: Research innovation in digital authentication using behavior biometrics capabilities, build applied AI based models and engineer them into the product called Visa Behavior Analytics. You will engage in data science and applied AI related activities for a Visa engineered product to protect against account takeover related threats, continuously enhancing it to combat threats in the secure authentication and perimeter defense space.

  • Cyber/AI R&D: Research innovation in applying AI to the more general field of cybersecurity, including the protection with and against AI driven technologies, as well as the AI models themselves.  You will be using your core competencies around AI and data science and help drive the teams to build models and solutions that work at scale, harnessing Petabytes of data while applying it to products that need to respond with cyber analytics in milliseconds.

  • Influence & Collaborate: Be able to present results to a cross section of employees, including C-Level and other senior leadership at Visa. You will engage with internal technology, and cyber teams along with global product orgs. In addition, you will collaborate with colleagues in technology and product offices to establish effective, productive business relationships.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. 

Qualifications

Basic Qualifications:
• 8 or more years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications:
• 9 or more years of relevant work experience with a Bachelor’s Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• 2+ years of experience in developing and deploying products using Docker, Kubernetes, and the containerization technology stack
• 3+ years of experience in development of advanced machine learning and deep learning models such as RNN, LSTM, Graph Neural Networks
• 3+ years of experience in modern data mining and data science techniques (e.g., regressions, decision trees, ensemble algorithms, neural networks, time series analytics, clustering, anomaly detection, text analytics, etc.)
• Data Wrangling: The candidate must have proficient data wrangling skills with Python, SQL, and other data processing tools/scripts.
• Software Engineering background: The candidate must be proficient in Python and at least one object-oriented programming language (Java, Golang, C++, etc.) She/he must possess software engineering skills and be able to take end-to-end ownerships of analytical models
• Domain Knowledge - Candidate with background in one or multiple of the following domains is a plus:
o Cybersecurity
o AI security/privacy research
o Biometrics
• Distributed Systems: practical experience with NoSQL data platforms (e.g., Cassandra, Lakehouse, DynamoDB) and caching technologies like Redis is a plus.
• Software Engineering: Project experience (academic or professional) with Go lang is a plus
• Cloud domain: Experience working with cloud platforms (e.g., AWS, GCP, Azure) and infrastructure-as-code (e.g., Terraform) is a plus

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 138,500.00 to 180,000.00 USD, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

* Salary range is an estimate based on our InfoSec / Cybersecurity Salary Index 💰

Tags: Analytics Artificial Intelligence AWS Azure C Cassandra Cloud Docker DynamoDB GCP Golang Incident response Java Kubernetes Machine Learning NoSQL PhD Privacy Python R&D Redis SQL Terraform Threat detection

Perks/benefits: Career development Equity Health care Insurance Salary bonus Startup environment Team events Wellness

Region: North America
Country: United States
Job stats:  12  0  0

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