What are the responsibilities and job description for the Senior Data Scientist position at Visa?
Job Description
The Global Data Science group supports our bank and merchant partners by using our extraordinarily rich data sets that span more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. To support our rapidly growing group, we are looking for Data Scientists who are passionate about the opportunity to use Visa's rich data to address and deliver substantial results to complex problems! You will join one of the Data Science focus areas (e.g. merchants, banks) with an opportunity for rotation between Data Science teams to gain broad exposure to Visa's business.
Essential Functions
Use and build new predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes
Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients
Be an out–of–the–box problem solver who is passionate about applying data science techniques and innovate thinking to our unique data to help our clients both innovate and solve the problems they face
Running projects from scoping to delivery, and engaging with internal/external partners
Connect with clients to understand the challenges they face and convince them with data
Find opportunities to craft products out of analyses that are suitable for multiple clients
Work with partners throughout the organization to find opportunities demonstrating Visa data to drive business solutions
Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners
Provide mentorship in modern analytic techniques and business applications
Prioritize and lead multiple data science projects with diverse multi–functional partners
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.
The Global Data Science group supports our bank and merchant partners by using our extraordinarily rich data sets that span more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. To support our rapidly growing group, we are looking for Data Scientists who are passionate about the opportunity to use Visa's rich data to address and deliver substantial results to complex problems! You will join one of the Data Science focus areas (e.g. merchants, banks) with an opportunity for rotation between Data Science teams to gain broad exposure to Visa's business.
Essential Functions
Use and build new predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes
Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients
Be an out–of–the–box problem solver who is passionate about applying data science techniques and innovate thinking to our unique data to help our clients both innovate and solve the problems they face
Running projects from scoping to delivery, and engaging with internal/external partners
Connect with clients to understand the challenges they face and convince them with data
Find opportunities to craft products out of analyses that are suitable for multiple clients
Work with partners throughout the organization to find opportunities demonstrating Visa data to drive business solutions
Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners
Provide mentorship in modern analytic techniques and business applications
Prioritize and lead multiple data science projects with diverse multi–functional partners
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.
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