Director Data Science AI Detection and Investigation

Visa Rules Compliance and Standards (RCS) is a global group that is tasked with the role of upholding the security and integrity of Visas payment ecosystem. This is achieved through the deployment of rules and/or compliance standards. This team works with internal and external stakeholders to further its charter and initiatives.

This position is ideal for an experienced Data Scientist who is passionate about collaborating with business and technology partners in solving challenging data science problems. You will be a key driver in the effort to define the shared strategic vision for the RCS team and defining tools and services that safeguard Visas payment systems.

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.

A successful candidate is a technical leader with the ability to engage in high bandwidth conversations with business and technology partners and be able to think broadly about Visas business and drive solutions that will enhance the safety and integrity of Visas payment ecosystem. The candidate will help deliver innovative insights to Visas 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 selfstarter comfortable with ambiguity with strong attention to detail and excellent collaboration skills.

Essential Functions

• As a principal data scientist in RCS team you will help design enhance and build next generation fraud detection solutions in an agile development environment.
• Develop ongoing Management Information Systems (MIS) that provides oversight in Visa Ecosystem Risk Programs activity including trends and discovery tool effectiveness.
• Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders.
• Experiment with inhouse and thirdparty data sets to test hypotheses on relevance and value of data to business problems.
• Build needed data transformations on structured and unstructured data.
• Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning data mining and statistical techniques.
• Devise and implement methods for adaptive learning with controls on effectiveness methods for explaining model decisions where necessary model validation A/B testing of models.
• Devise and implement methods for efficiently monitoring model effectiveness and performance in production.
• Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.
• Contribute to development and adoption of shared predictive analytics infrastructure
• Mentor and train other team members on key solutions
• Able to work on multiple projects and initiatives with different/competing timelines and demands.
• Present technical solutions capabilities considerations and features in business terms. Effectively communicate status issues and risks in a precise and timely manner
• Buildout Visa Miscoding Detection models leveraging AI/ML that are targeted to the various merchant activities covered under the program
• Help managing the Indiabased data science COE team that is dedicated to MIS and Analytics for the program
• Significant experience of using Tableau BI and MSD CRM including production of reporting and analysis

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
10 years of relevant work experience with a Bachelors Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters MBA JD MD) or 4 years of work experience with a PhD OR 13 years of relevant work experience.

Preferred Qualifications
12 or more years of work experience with a Bachelors Degree or 810 years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 6 years of work experience with a PhD
PhD 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 coursework in modeling techniques such as logistic regression Nave Bayes SVM decision trees or neural networks
Expert in leadingedge areas such as Machine Learning Deep Learning Stream Computing and MLOps
Ability to program in one or more scripting languages such as Perl or Python and programming languages such as Java or Scala
Experience with Python and Hive
Excellent understanding of algorithms and data structures.
Excellent analytic and problemsolving capability combined with ambition to solve realworld 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.
Familiar with software development methodology story and requirements definition
Strong analytical and problemsolving 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 fastpaced dynamic environment
Outstanding communication and presentation skills
Ability to understand both business and technical concepts.
High level of competence in Python Spark and Unix/Linux scripts
Real world experience using Hadoop and the related query engines (Hive / Impala)
Extensive experience with SAS/SQL/Hive for extracting and aggregating data
Experience working with large datasets using tools like Pig or Hive is a plus
Experience with Big Data and analytics leveraging technologies like Hadoop Spark Scala and MapReduce Deep learning experience with TensorFlow is a plus
Experience with Natural Language Processing is a plus
Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus
Good to have SAS R KNIME Matlab
Experience with data visualization and business intelligence tools like Tableau
Modeling experience in card industry or financial service company using for fraud credit risk payments is plus
Proficiency in designing & solving classification/prediction problems using opensource libraries.
Experience in developing large scale enterprise class distributed systems of high availability low latency & strong data consistency
Experience in architecting solutions with Continuous Integration and Continuous Delivery in mind
Own delivery of multiple projects from technical requirements and quality assurance perspective.
Ability to do highlevel system design and workflows to represent the implementation of the requirements
Experience in design and deployment of technology platforms and tools covering data solutions and/or workflow tools
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
Experience in delivering MIS and analytics including the deployment of AI/ML models
Selfstarter who can communicate with a deep understanding of the company needs and enable people to move forward through complexity
Proven ability to create processes and implement them to drive top line results
Demonstrated crossfunctional competence having led/coordinated teams across functional areas in large matrixed organizations
A clear record of strategic thinking sound judgment and superior problem solving in the area of trust and security
Selfdriven with strong leadership skills with demonstrated excellence in leading diverse teams in a global environment
Flexible and creative thinker with strong execution skills generate outofthebox solutions manage ambiguity anticipate the impact of decisions/initiatives and able to move seamlessly from high level concepts to details
Hands on experience in building analytical report dashboards using Tableau and Microsoft Technologies (SQL Server Power BI Analysis services) to solve business problems.
Strong experience with Tableau Power BI and/or a similar visual analysis technology.
Strong hold on MS Excel and PowerPoint
Advanced Excel skills include the ability to produce graphs and tables use spreadsheets efficiently and perform calculations and automation to process large volumes of data.

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