Associate Data Scientist at Visa

Ashburn, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

134600.0

Posted On

21 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, AI Models, Generative AI, Python, SQL, Hadoop, Spark, Hive, Data Analysis, Feature Engineering, Statistical Methods, Cyber Security, Communication Skills, Problem Solving, Team Collaboration

Industry

IT Services and IT Consulting

Description

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. Job Description 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. 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, 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. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications •Minimum of 6 months of work experience or a Bachelor's Degree Preferred Qualifications •2 or more years of work experience •Less than 1-year relevant work experience with master's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline. •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 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 95,200.00 to 134,600.00 USD per year, 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.

Responsibilities

Analyze cyber event logs and develop insights using advanced statistical methods. Create and implement machine learning models to defend against cyber-attacks.