Staff Data Science

**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 and Responsibilities

Team Summary

Visa Consulting & Analytics (VCA) team is a key part of the Global Solutions organization, a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions.

Visa is looking for Sr. Data Scientist (Manager level), who will be the responsible for leading data science engagements with our partners and supporting end-to-end delivery.

What a Data Science - Manager (Sr. Data Scientist) does at Visa:
The Data Science - Manager (Sr. Data Scientist) will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa’s Bangalore office.

The individual will be accountable for supporting and driving the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.
- Manage and deliver analytics projects from conception to completion with actionable insights and recommendations
- Define detailed scope and methodology, design and create solutions, and execute on the framework leveraging appropriate tools and techniques
- Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose to the needs of our clients
- Enhance existing analytic techniques by promoting new methodology and best practices in analytics
- Develop metrics and use dashboards to quantify current state and to monitor progress across markets and segments using consistent definitions
- Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.
- Collaborate with cross-functional teams to build and automate re-usable and scalable solutions

Why this is important to Visa

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We are building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services through the use of data.

Projects you will be a part of:
The nature of projects this role will play a key role in vary. This would include collaborating with Visa Consumer Solution team, Open data solution, Merchant team, to solve their most strategic business problems. Here are some sample problems
- Benefit measurement: how to evaluate if a campaign promotion is making positive ROI? Does it generate positive impacts to the campaign participating merchants? How about the overall impacts to Visa? How to identify proper test and control group so that make more scientific inference? What do you recommend to program managers to optimize the offerings? How to collaborate with different stakeholders to commercialize the benefit platform?
- Loyalty: how to work with stakeholders to improve the existing loyalty platform by leveraging various AI models?
- Buy-Now-Pay-Later: what does the typical BNPL adopter look like? Who has the higher chance to take the instalment offers, on which transaction(s)?
- Open data: how to support stakeholders for potential joint development with 3rd party

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**
- 7+ years’ experience plus a Bachelor’s degree in computer science, information science, mathematics, or similar/related streams. Graduate Master’s degree is a plus.
- Hands-on in developing machine learning solutions, delivering end-to-end data science projects, scaling up data solut