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
The Data Science Senior Manager will manage and lead data innovations in support of the Visa Consulting & Analytics team and our external partners. This role involves close collaboration with various Visa departments and clients to understand their requirements and create data-driven solutions.
Key Responsibilities
Contribute to the development and refinement of new solution ideas for a diverse range of clients. Participate in the prioritization of new solution development in collaboration with key stakeholders. Develop proof of value, including business case simulation. Collaborate with clusters for solution testing. Work closely with clients to understand their needs and contribute to the development of data-driven solutions. Lead the technical product management for hardening cluster-based solutions. Develop business and technical requirements for the Data Engineering and Solutions team. Ensure the quality and accuracy of data science outputs. Help in the development of collateral to enable cluster sales. Collaborate with data product sales specialists and consultants in client engagement. Play a key role in the commercialization of data by identifying potential markets, developing go-to-market strategies, and driving sales efforts.
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:
Master's degree or Ph.D. in Computer Science, Data Science, Statistics, or a related field. Proven experience in a role in data science. Strong experience with data science tools and programming languages such as Python, R, or SQL. Experience with payments data is highly desirable. Excellent client-facing and communication skills. Strong problem-solving skills and analytical thinking. Ability to work in a fast-paced, deadline-driven environment. Fluency in English.
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.
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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
The Data Science Senior Manager will manage and lead data innovations in support of the Visa Consulting & Analytics team and our external partners. This role involves close collaboration with various Visa departments and clients to understand their requirements and create data-driven solutions.
Key Responsibilities
Contribute to the development and refinement of new solution ideas for a diverse range of clients. Participate in the prioritization of new solution development in collaboration with key stakeholders. Develop proof of value, including business case simulation. Collaborate with clusters for solution testing. Work closely with clients to understand their needs and contribute to the development of data-driven solutions. Lead the technical product management for hardening cluster-based solutions. Develop business and technical requirements for the Data Engineering and Solutions team. Ensure the quality and accuracy of data science outputs. Help in the development of collateral to enable cluster sales. Collaborate with data product sales specialists and consultants in client engagement. Play a key role in the commercialization of data by identifying potential markets, developing go-to-market strategies, and driving sales efforts.
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:
Master's degree or Ph.D. in Computer Science, Data Science, Statistics, or a related field. Proven experience in a role in data science. Strong experience with data science tools and programming languages such as Python, R, or SQL. Experience with payments data is highly desirable. Excellent client-facing and communication skills. Strong problem-solving skills and analytical thinking. Ability to work in a fast-paced, deadline-driven environment. Fluency in English.
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.
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