Data Science Director

**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.

What a Director Data Science, Visa Consulting & Analytics does at Visa:
The Data Science Director will be a member of VCA Data Science team in Asia Pacific and will report to the Head of Data Science overseeing the IPVMC cluster. The position will be based in Visa’s Singapore office.

The individual will be accountable for leading 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/payments domain with a strong background in data science to solve complex problems and unlock business value.

Key responsibilities include:

- Collaborate with business leaders, internal stakeholders and client teams to understand business needs and identify the strategic areas where data science can drive strong business impact, in alignment with the organization's goals and priorities.
- Develop holistic data science strategies for driving innovations, accelerate new solution launches, create data offerings in alignment with business strategy
- Provide leadership and guidance to the data scientists and play a critical role in ensuring project success for IPVMC engagements
- Establish best practices for data science project governance, solution development and operationalization
- Continuously explore and evaluate emerging technologies, tools, and frameworks to ensure that our organization and team remains at the forefront of machine learning and AI.
- Develop and manage project budgets, ensuring effective utilization of resources and alignment with financial targets.
- Establish clear success measures for data science projects and drive continual improvement
- Promote thought leadership in the data science domain and build intellectual property through innovation
- Effectively interact with clients and manage internal/external stakeholder communication
- If required on a per-project basis, work onsite for a short duration

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’re 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.

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
- 10 or more years of work experience with a Bachelor’s Degree or at least 8

years of work experience with an Advanced Degree (e.g. Masters/

MBA/JD/MD) or at least 3 years of work experience with a PhD

Preferred Qualifications
- 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of

experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years

of work experience with a PhD
- Ph.D. with 9+ years of experience, or Bachelors/ Master’s degree with 12+

years of experience, in Computer Sciences, Statistics, Machine Learning &
Artificial Intelligence, or a related discipline
- Strong experience in delivering business value using AI/ML, data-driven

solutions and business intelligence tools
- Strong knowledge of Machine Learning algorithms, modeling techniques and

use cases
- Hands on experience with one or more data analysis/programming tools such

as SAS//Hadoop/R/SQL/Python/Hive, and working knowledge of data

ecosystems
- Familiarity with working in a cloud-based technology stack
- Ability to explain complex Machine Learning concepts and theories to business

stakeholders in a simplified, easy to understand way
- Excellent communicator and strong storytelling/ presentation skills
- Demonstrated experience in planning, organizing, and managing multiple

analytics projects with diverse cross-functional stakeholders
- Strong team player and ability to work