TA
Data Scientist
- Salary
- $162.5K–$260.4K
- Hiring from
- Germany, United States
- Work type
- Hybrid
- Posted
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About The Company
Visa is a world leader in payments technology, facilitating transactions among consumers, merchants, financial institutions, and government entities in more than 200 countries and territories. The company is dedicated to uplifting everyone, everywhere by helping make payments and commerce accessible, secure, and convenient. At Visa, employees can contribute to work with global impact, take on meaningful challenges, develop their skills, and help shape experiences that affect people and businesses around the world. Progress starts with you.
About The Role
Visa Acceptance Intelligence supports innovative payment experiences through secure, resilient services and a broad ecosystem of technology and payments partners. Building on this foundation, Visa is developing data products that help businesses make smarter decisions. Through Acceptance Analytics and Intelligence and Visa Intelligent Commerce, the organization connects information and delivers actionable insights to clients.
Visa is seeking a curious and versatile Senior Applied Scientist to advance these products. In this role, you will collaborate with scientists, engineers, product leaders, and business stakeholders to design, build, and evaluate intelligent solutions. Your work may span forecasting, natural language processing, and the thoughtful application of large language models (LLMs). You will help move ideas from exploration into dependable, practical capabilities for customers, balancing research with the needs of production systems. This position follows a hybrid work arrangement, with at least three days per week in the office; your Hiring Manager will confirm the expected days.
Qualifications
Basic qualifications include at least eight years of relevant experience with a bachelor’s degree, five years with an advanced degree, or two years with a PhD. Candidates with 11 or more years of relevant work experience may also qualify. Preferred qualifications include a PhD in computer science or a related field, and nine or more years of relevant experience with a bachelor’s degree, seven or more years with an advanced degree, or three or more years with a PhD.
Successful candidates bring experience applying data technologies to complex problems, including technologies such as Hadoop, Hive, Kafka, Redis, NoSQL, or relational databases. Familiarity with big data and analytics platforms such as Hadoop, Spark, Flink, and MapReduce is valued. The role calls for strong analytical judgment, the ability to evaluate methods rigorously, and the communication skills to translate technical findings into clear recommendations for varied audiences.
Responsibilities
Develop and evaluate time-series analysis and forecasting methods for business and payments applications. Apply NLP and LLM techniques to data and intelligence products, using fine-tuning or other model-adaptation approaches when appropriate. Design rigorous evaluation strategies for LLM-powered systems, including task-specific quality measures and assessments of reliability.
Investigate how LLMs can complement established analytical methods in time-series workflows, selecting approaches based on the problem, available data, and evaluation results. Improve data extraction and preparation through data wrangling, complex data modeling, and AI-assisted methods, while raising data quality, completeness, and usability. Follow and strengthen data-management and governance practices that support dependable products.
Work with product owners, business partners, cybersecurity teams, and other collaborators to turn technical and business needs into clear specifications. Identify dependencies across upstream and downstream systems, help shape platform-wide solutions, and find useful patterns across relevant data sources. Convert findings into insights, product opportunities, and recommendations for platform improvements. Contribute to technical roadmaps and, where relevant, recommend software upgrades or security remediation.
Benefits
For US-based roles, the estimated annual salary range is $162,500 to $260,400 USD. Compensation may vary based on job-related factors, including knowledge, skills, experience, and location. The position may also be eligible for bonus and equity. Visa offers a comprehensive benefits package for which this role may be eligible, including medical, dental, and vision coverage; 401(k); FSA/HSA; life insurance; paid time off; and a wellness program. Work hours vary according to departmental needs, and travel is expected to be approximately 5–10% of the time. The role is performed in an office setting and involves typical computer-based work and communication.
Equal Opportunity
Visa is an equal opportunity employer. Qualified applicants receive consideration without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Visa also considers qualified applicants with criminal histories in accordance with EEOC guidelines and applicable local law.
Visa is a world leader in payments technology, facilitating transactions among consumers, merchants, financial institutions, and government entities in more than 200 countries and territories. The company is dedicated to uplifting everyone, everywhere by helping make payments and commerce accessible, secure, and convenient. At Visa, employees can contribute to work with global impact, take on meaningful challenges, develop their skills, and help shape experiences that affect people and businesses around the world. Progress starts with you.
About The Role
Visa Acceptance Intelligence supports innovative payment experiences through secure, resilient services and a broad ecosystem of technology and payments partners. Building on this foundation, Visa is developing data products that help businesses make smarter decisions. Through Acceptance Analytics and Intelligence and Visa Intelligent Commerce, the organization connects information and delivers actionable insights to clients.
Visa is seeking a curious and versatile Senior Applied Scientist to advance these products. In this role, you will collaborate with scientists, engineers, product leaders, and business stakeholders to design, build, and evaluate intelligent solutions. Your work may span forecasting, natural language processing, and the thoughtful application of large language models (LLMs). You will help move ideas from exploration into dependable, practical capabilities for customers, balancing research with the needs of production systems. This position follows a hybrid work arrangement, with at least three days per week in the office; your Hiring Manager will confirm the expected days.
Qualifications
Basic qualifications include at least eight years of relevant experience with a bachelor’s degree, five years with an advanced degree, or two years with a PhD. Candidates with 11 or more years of relevant work experience may also qualify. Preferred qualifications include a PhD in computer science or a related field, and nine or more years of relevant experience with a bachelor’s degree, seven or more years with an advanced degree, or three or more years with a PhD.
Successful candidates bring experience applying data technologies to complex problems, including technologies such as Hadoop, Hive, Kafka, Redis, NoSQL, or relational databases. Familiarity with big data and analytics platforms such as Hadoop, Spark, Flink, and MapReduce is valued. The role calls for strong analytical judgment, the ability to evaluate methods rigorously, and the communication skills to translate technical findings into clear recommendations for varied audiences.
Responsibilities
Develop and evaluate time-series analysis and forecasting methods for business and payments applications. Apply NLP and LLM techniques to data and intelligence products, using fine-tuning or other model-adaptation approaches when appropriate. Design rigorous evaluation strategies for LLM-powered systems, including task-specific quality measures and assessments of reliability.
Investigate how LLMs can complement established analytical methods in time-series workflows, selecting approaches based on the problem, available data, and evaluation results. Improve data extraction and preparation through data wrangling, complex data modeling, and AI-assisted methods, while raising data quality, completeness, and usability. Follow and strengthen data-management and governance practices that support dependable products.
Work with product owners, business partners, cybersecurity teams, and other collaborators to turn technical and business needs into clear specifications. Identify dependencies across upstream and downstream systems, help shape platform-wide solutions, and find useful patterns across relevant data sources. Convert findings into insights, product opportunities, and recommendations for platform improvements. Contribute to technical roadmaps and, where relevant, recommend software upgrades or security remediation.
Benefits
For US-based roles, the estimated annual salary range is $162,500 to $260,400 USD. Compensation may vary based on job-related factors, including knowledge, skills, experience, and location. The position may also be eligible for bonus and equity. Visa offers a comprehensive benefits package for which this role may be eligible, including medical, dental, and vision coverage; 401(k); FSA/HSA; life insurance; paid time off; and a wellness program. Work hours vary according to departmental needs, and travel is expected to be approximately 5–10% of the time. The role is performed in an office setting and involves typical computer-based work and communication.
Equal Opportunity
Visa is an equal opportunity employer. Qualified applicants receive consideration without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Visa also considers qualified applicants with criminal histories in accordance with EEOC guidelines and applicable local law.
