Lead Data Science

5 Months ago • 8-12 Years • Data Analysis

Job Summary

Job Description

As a Lead Data Scientist, you will be responsible for developing analytics and model-based solutions for Visa’s clients. You will address challenges such as market opportunity sizing, prospect targeting, cross sell/upsell, risk, and more. You will lead the design, development, and implementation of analytics-driven strategies and solutions, collaborating with various teams to implement solutions that drive business performance. Key responsibilities include identifying innovation opportunities, managing projects, mentoring junior resources, developing analytic products, and introducing cutting-edge tools and techniques. The role also involves collaborating with technology partners, building best practices, and socializing innovative ideas.
Must have:
  • Develop analytics and model-based solutions for clients
  • Lead the design and implementation of data-driven strategies
  • Mentor junior resources in the team
  • Develop analytical products and solutions

Job Details

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our ecosystem of key banks, merchants, fintechs and Governments. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans 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 equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems.

We are seeking an innovative and analytical thinker to support our Data Science team in CISSEE within Visa Consulting & Analytics. As a Director: Data Scientist, you will be responsible for developing analytics and model-based solutions for Visa’s issuer, acquirer, merchant, fintech and Government clients. Your models will address challenges such as market opportunity sizing, prospect targeting, cross sell/upsell, cross-channel marketing implementation, risk, fraud, and more general portfolio optimization programs. You will be directly responsible for a limited number of ad-hoc reporting activities to accompany the main work of delivering descriptive, predictive, and prescriptive analytical projects, applying appropriate analytic methodologies and techniques to solve client’s business objectives. This role’s primary function is to support external clients, with some exposure to internal clients’ projects.

Global Data Science is the engine of analytics at Visa, this is a high-performing team of Data Scientists, Data Analysts, Statisticians, and Business Analysts from a variety of countries – serving the Central Europe, Middle East and Africa (CEMEA) geographies. The Director of Data Science is a lead Data Scientist role in the Sub-Saharan Africa (SSA) Visa Consulting & Analytics team.  As a Director, you will be accountable for leading the design, development and implementation of analytics-driven strategies and solutions. In this role, you will partner with Visa Consulting & Analytics, Business Development, Product, Finance and Technology teams across the organization to implement solutions that drive business performance.

 

Principal Responsibilities
• Provide leadership to identify strategic and tactical innovation opportunities around data and data-related processes that will promote fact-based decisioning processes
• Help set strategic direction and roadmap for the Data Science group in CISSEE
• Manage and execute projects and client engagement for the large projects in CISSEE
• Provide leadership and mentoring to junior resources who are currently involved in the project
• Provide leadership to identify strategic and tactical innovation opportunities around data and data-related processes that will promote fact-based decisioning processes
• Help set strategic direction and the roadmap for the Data Science group in CISSEE
• Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote growth and business development for the region
• Keep us at the forefront of technical advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights
• Develop next-generation analytic methods where existing techniques are not adequate to address business challenges
• Review, direct, guide, and inspire the analytical work of junior members in the team
• Collaborate with technology partners to build an Analytics Technology Ecosystem that supports advanced decisioning
• Develop, share, and build global best practices and knowledge management within the team
• Socialize innovative new ideas and approaches that are scalable and have market demand Leadership Competencies
• Demonstrates integrity, maturity and a constructive approach to business challenges
• Role model for the organization and implementing core Visa Values
• Use sound insights and judgments to make informed decisions in line with business strategy and needs
• Leadership skills include an ability to allocate tasks and resources across multiple lines of businesses and geographies. Leadership extends to ability to influence senior management within and outside Analytics groups
• Ability to successfully persuade/influence internal stakeholders for building best-in-class solutions
 

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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About The Company

At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world.

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