Senior Data Scientist - Cyber Security Analytics

  • Ashburn, VA, USA
  • Full-time

Company Description

As the world’s leader in digital payments technology, Visa’s mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company’s dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You’re an Individual. We’re the team for you. Together, let’s transform the way the world pays.

Job Description

You are an engineer who has domain knowledge or an interest in networking, Big Data, machine learning and cybersecurity. You are ready for an exciting opportunity working hands on with the world’s most advanced cybersecurity technologies and thrive in a super dynamic environment where you are being counted on to help to defend Visa from the most advanced cyber threats. You are looking to innovate the next generation of cybersecurity technology with Petabytes of data.

You will leverage cutting-edge technologies to perform statistical profiling, inference, classification, clustering and predictive analysis. As a key member of the technical team, you will translate cyber and network security related requirements into sophisticated models to help derive new insights to defend against cyber-attacks. You will be working with a large variety of data sets, cutting-edge security technologies, and world-class operation teams to create awesome analyses for cyber security.

Qualifications

Basic Qualifications

  • 4-5 years of work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a Ph.D. degree in computer or other related Science/engineering majors.

Preferred Qualfications

  • 1-2 years of experience with Big Data technologies such as Spark, Hadoop, ELK.
  • Excellent understanding of statistical and machine learning algorithms and methods.
  • Exceptional coding skills and experience with Python (NumPy, SciPy, PySpark) or Scala for data analysis.
  • Practical data wrangling skills (SQL, Python, Shell script).
  • Experience with real-time, large-scale data processing engines, such as spark streaming or structured streaming.
  • Basic knowledge with enterprise networks and systems.

Additional Information

Essential Functions

  • Analytical model design, development and implementation
  • Performing data analysis to support cybersecurity/risk functions
  • Security analytics product development / integration
Work Hours
  • Incumbent must make themselves available during core business hours
Travel Requirements
  • This position requires the incumbent to travel for work 0-5% of the time
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, reach with hands and arms, and bend or lift up to 25 pounds.

 

  • Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
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