Data Scientist - Cybersecurity
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.
Formulate cyber threat scenarios into technical data problems and develop high fidelity models to capture unseen threats
Devise and implement deep learning models for building user behavior profiles. This includes data acquisition feature engineering model development and deployment.
Conduct feature engineering on various data sources to build and enrich feature store
Fine tune open source LLM to detect anomalous user behavior
Leverage Generative AI to perform RAG for helping improve 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:
2 years of relevant work experience and a Bachelors degree OR 5 years of relevant work experience
Preferred Qualifications:
3 or more years of work experience with a Bachelors Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters MBA JD MD)
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
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
