Sr Data Scientist, Gen AI Knowledge Assets

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 #LifeatVisa.

Job Description

Data is our future fuel. Our strategies, policies, and business successes hinge on data, defining our growth prospects. To unlock the value embedded in data for consumers, businesses, and communities is pivotal to our future. With our ongoing commitment to Visa’s Data Values and responsible use of data, we have a daring vision to grow and bolster our data-related businesses and capabilities.

Spearheaded by Visa’s Chief Data Officer, the Global Data Office orchestrates high-impact, intricate, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Collaborating closely with Visa’s Chief Privacy Officer, the Technology organization, the wider data community, and Visa’s global lines of business, the Global Data Office is evolving Visa’s data-related work with momentum and enthusiasm. Backed by its commitment to the trusted use of data, Visa is seeking zealous leaders who are change-agents and passionate about data's future worldwide.

The Global AI & Data Innovation team is crafting the next generation of scalable and responsible AI, ML, and Data Innovations and products to address client and consumer problems. We are a cross-functional team of data scientists, product managers, AI and data engineers, and program managers focused on generating value for the payment’s ecosystem.

Responsibilities:

• Build and optimize Machine Learning and Deep Learning models for text classification problems.
• Drive end-to-end Machine Learning projects, working closely with software engineers for model deployment.
• Develop a framework to automate the validation of document tagging.
• Fine-tune and deploy large deep-learning models.
• Collaborate with cross-functional teams to understand business requirements and translate them into data tasks.

Essential Functions:

• Build AI/ML models to create metadata for documents to enhance discovery & relevancy.
• Conduct exploratory analysis to identify gaps, provide feedback, and innovate solutions to address them.
• Leverage NLP and semantic analysis to develop features for the metadata models

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:

• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications:

• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• Experience programming with Python or any other scripting language.
• Experience working in AI/ML projects ground up in enterprise environment
• Proven experience with AI/ML implementation in an Agile environment.
• Proficiency in Python, SQL & LLM, with experience in orchestration tools like Airflow.
• Practical experience in implementing AI projects, particularly in prompt engineering & RAG.
• Experience with data visualization tools such as Tableau, Power BI.

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 qualifi