Associate Data Scientist - Cybersecurity
Associate Data Scientist - Cybersecurity
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Job Description
Visas Cybersecurity team provides enterprisewide riskbased cybersecurity policies practices and solutions to protect Visas systems and data from internal and external threats. To protect Visas assets in this dynamic threat landscape they are deploying new cybersecurity tools collaborating across industries and taking a proactive approach to monitoring the cyberspace beyond the Visa network.
As part of Cyber Threat Analytics and Research team (CTAR) you will leverage cuttingedge technologies to perform statistical profiling inference classification clustering and predictive analysis. As a key member of the technical team you will create and implement sophisticated machine learning models to help derive new insights to defend against cyberattacks. You will be working with a large variety of data sets cuttingedge security technologies and worldclass operation teams to create awesome analytics for security and other business units.
Essential Functions:
Analyze cyber event logs using Spark and big data technologies and develop deeper insights into products using advanced statistical methods
Devise and implement deep learning models for building user behavior profiles. This includes data acquisition feature engineering model development and deployment.
Support and optimize other existing analytical models/products.
Support and maintain existing risk scoring algorithms. This includes maintenance of job scheduling tool and data ingestion pipeline to product backend database.
Devise and implement methods for efficiently monitoring model effectiveness and performance in production.
Leverage GenAI to perform RAG for improving Cyber investigation efficiency
As a member of the CTAR team you will work closely with other data scientists and data engineers to build design engineer and develop analytical software and services that deliver security functionality and improve security efficiency and capabilities through automation.
Assist in shaping overall direction lifecycle management and leadership for Information Security architecture and technology related to Visa.
Communicate clean and persuasive data directly to end users leadership and other stakeholders technical and nontechnical.
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 23 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:
Bachelors degree OR 3 years of relevant work experience
Preferred Qualifications:
Associate: 2 or more years of work experience
Bachelors or Masters degree in data science mathematics statistics economics computer science engineering or other related business or quantitative discipline is required
Solid background and hands on experiences with building Machine learning deep learning and AI models
Experience with Generative AI/LLM
Excellent understanding of algorithms and data structures and proficiency in Python and SQL
Experience working with large datasets using tools and Hadoop Spark or Hive
Excellent analytic and problemsolving capability combined with ambition to solve hard problems
Strong communications skills and ability to collaborate
Highly driven resourceful and results oriented
Good team player and excellent interpersonal skills
Demonstrated ability to lead and navigate through ambiguity
Additional Information :
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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
