Manager Data Science Visa Consulting and Analytics
Manager Data Science Visa Consulting and Analytics
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Job Description
Visa Consulting and Analytics (VCA) the consulting arm of Visa is a global team of industry experts in strategy marketing operations risk and economics consulting with decades of experience in the payments industry.
Our VCA teams offers
- Consulting services customized to the needs of Visa client business objectives and strategy
- Business and economic insights and perspectives that impact business and investment decisions
- Selfservice digital solutions Visa clients can leverage to improve performance in product marketing and operations
- Proven datadriven marketing strategies to increase clients ROI
The Machine Learning Operations (MLOps) team under Visa Consulting & analytics Data Science is a multidisciplinary group responsible for designing robust data infrastructures developing innovative machine learning solutions enforcing data governance standards and aligning machine learning projects with business objectives to drive business value and revenue generation in Latin America and the Caribbean region.
The ideal candidate for the Machine Learning Solutions within MLOPs is a talented professional capable of developing stateoftheart data solutions and enhancing existing ones to address complex business problems.
Responsibilities
- Develop and grow exceptional internal client relationships to define priorities and to set the solutions development strategy to be followed.
- Utilize Visanet Data and Visas analytical capabilities technology and industry expertise to develop standardize and deploy scalable solutions.
- Lead quality assurance (QA) activities from design to implementation.
- Manage large volumes of data: extract analyze and manipulate large datasets using standard tools such as Hadoop Ecosystem PySpark SAS Presto SQL etc.
- Design develop and maintain complex Tableau Dashboards for scalability extensibility performance and reuse.
- Work with business partners to design deliver and maintain subscription reports using Tableau.
- Data Cleansing/Wrangling This involve parsing and aggregating messy incomplete and unstructured data sources to produce data sets that can be used in predictive modeling or in dashboards development.
- Develop and validate advance data mining tools algorithms and other capabilities to solve business problems related to one or more countries in Latin America.
- Identify relevant market trends based on a deep analysis of payment industry Information.
- Leverage Generative AI Tools to increase the teams efficiency and the knowledge sharing across the different structures.
- Continuously develop and present innovative ideas to improve current business practices within Visa.
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
5 years of relevant work experience and a Bachelors degree OR 8 years of relevant work experience
Preferred Qualifications
6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters MBA JD MD) or up to 3 years of relevant experience with a PhD
Postgraduate degree in a quantitative field such as Statistics Mathematics Data Science Operational Research Computer Science Informatics Economics or Engineering (Master or PhD preferred).
Deep understanding of Payments and the Banking industry including card verticals such as consumer credit consumer debit prepaid small business commercial and cobranded products.
Expert knowledge of data market intelligence business intelligence and AIdriven tools and technologies with demonstrated ability to incorporate new techniques to solve business problems.
Experience in presenting ideas and analysis to stakeholders tailoring datadriven results to various audience levels.
Proven ability to deliver results within committed scope timeline and budget.
Fluency in English and Spanish (spoken/written) Portuguese is a plus.
Technical Expertise
Proven handson expertise in distributed computing environments / big data platforms (Hadoop Presto PySpark etc.) as well as common database/data warehouse systems (SQL Hive etc.).
Strong programming ability in different programming languages such as Python R Scala Java and SQL.
Proven experience in developing and working Tableau driven dashboards analytics.
Ability to query and display large data sets while maximizing the performance of Tableau Workbooks.
Ability to interpret dashboard structure in Tableau and translate complex business requirements to technical specifications for future solution releases.
Proven handson experience with both common computing environments (e.g. Linux Shell Scripting) and commonly used IDEs (Jupyter Notebooks).
Leadership Competencies
Demonstrates integrity maturity and a constructive approach to business challenges
Serves as a role model for the organization by implementing core Visa Values
Shows respect for individuals at all levels in the workplace
Strives for excellence and extraordinary results
Uses sound insights and judgments to make informed decisions in line with business strategy and needs
Able to allocate tasks and resources across multiple lines of businesses and geographies
Able to influence senior management both within and outside Data Science
Successfully persuading internal stakeholders to commit to bestinclass solutions when required
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
Employment Type
Full-time
