Data Scientist - job 1 of 8

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.

Verifi a Visa entity operates a network enabling data sharing among Acquirers, Merchants & Issuers for fraud prevention, dispute prevention and revenue recovery. Below are the key product solutions which are managed by this technology team

Intelligence Suite - Risk management platform that allows merchant to customize services to protect their business, gain greater customer insights and seamlessly keep pace with emerging fraud threats

The right candidate will possess strong ML and Data Science background, with demonstrated experience in building, training, implementing and optimized advanced AI models for payments, risk or fraud prevention products that created business value and delivered impact within the payments or payments risk domain or have experience building AI/ML solutions for similar industries. The candidate should be proficient in performing detailed analyses and deep-dive investigations on large volumes of data.

A successful candidate is a technical SME who can think broadly about Visa’s business and drive solutions that will enhance the safety and integrity of Visa’s payment ecosystem. The candidate will help deliver innovative insights to Visa's strategic products and business. This role represents an exciting opportunity to make key contributions to strategic offering for Visa. This candidate needs to have strong academic track record and be able to demonstrate excellent data science and software engineering skills. The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.

Some of Your Key Responsibilities

Essential Functions:

• Bachelors or Masters in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis
• Relevant exposure to modeling techniques such as logistic regression, Naïve Bayes, decision trees.
• Proficiency in techniques such as Linear Regression,

Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs

Sampling, Evolutionary Algorithms, Support Vector Machines, Neural

Networks, etc

• Expert in leading-edge areas such as Machine Learning, Deep Learning, Stream Computing and MLOps
• Experience with Python, SQL, PySpark and Hive on data and analytics solutions
• Excellent understanding of algorithms and data structures
• Experience with data visualization and business intelligence tools like Tableau or Power BI
• Excellent analytic and problem-solving capability combined with ambition to solve real-world problems
• Excellent interpersonal, facilitation, and effective communication skills (both written and verbal) and the ability to present complex ideas in a clear, concise way
• Have great work ethics, and be a team player striving to bring the best results as a team
• Ability to work with internal product development and engineering teams to deliver products on schedule and with great quality. Comfortable in a heavily matrixed organization
• Strong analytical and problem-solving abilities, ability to use hard data and metrics to back up assumptions and evaluate outcomes
• Ability to juggle multiple priorities and make things happen in a fast-paced, dynamic environment
• Outstanding communication and presentation skills
• Ability to understand both business and technical concepts.

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.

Basic Qualifications
• Bachelors degree, OR 3+ years of relevant work experience

Preferred Qualifications
• 2+ years of work experience with a Bachelor’s Degree or Master's Degree in computer / information science with relevant work experience in IT industry
• High level of competence in Python, Spark, and Unix/Linux scripts
• Real world experience using Hadoop and the related query engines (Hive)
• Extensive experience with SQL/Hive for extracting and aggregating data
• Experience with Big Data and analytics leveraging technologies like Hadoop, Spark, Scala, and MapReduce
• Experience with Natural Language Processing and Deep Learning algorithms is a plus
• Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus
• Modeling experience in card industry or financial service company using for fraud, credit risk, payments is plus
• Experience with data visualization and business intelligence tools like Tableau or Power BI
• Experience in developing large scale, enterprise class distributed systems of high availability, low latency, & strong data consistency
• Own delivery of multiple projects from technical requirements and quality assurance perspective.
• Ability to fully understand technical architecture, APIs and overall system design
• Experience in working with agile lifecycle and/or tracking and process management tools, e.g., JIRA
• Self-starter who can communicate with a deep understanding of the company needs and enable people to move forward through complexity
• Demonstrated cross-functional competence, having led/coordinated teams across functional areas in large, matrixed organizations
• Flexible and creative thinker with strong execution skills, generate out-of-the-box solutions, manage ambiguity, anticipate the impact of decisions/initiatives and able to move seamlessly from high level concepts to details

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.