Associate Data Scientist

**Company Description**
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Visa's Cybersecurity team provides enterprise-wide, risk-based cybersecurity policies, practices, and solutions to protect Visa’s systems and data from internal and external threats. To protect Visa’s assets in this dynamic threat landscape, they are deploying new cyber-security 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 cutting-edge 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 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 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, life-cycle 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 non-technical.

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:

- Bachelor's degree, OR 3+ years of relevant work experience

Preferred Qualifications:

- Associate: 2 or more years of work experience
- Bachelor's or Master's 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 problem-solving 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.