Senior Manager, Data Science

Jakarta, Indonesia

Applications have closed

Visa

Das digitale und mobile Zahlungsnetzwerk von Visa steht an der Spitze der neuen Zahlungstechnologien für die neue Zahlung, elektronische und kontaktlose Zahlung, die die Welt des Geldes bilden

View company page

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

The Data Science Senior Manager 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 Indonesia office.

The individual will be accountable for driving 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.

Key responsibilities include:

  • Manage and deliver data science engagements for Indonesia clients

  • Define detailed scope and methodology, design and create solutions, and execute on the framework leveraging appropriate tools and techniques

  • Communicate with client teams, present findings and recommendations, drive deployment and implementation of solutions, as well as track impact

  • Ensure consistency, standards & quality control of data science work, with all project documentation up to date

  • Actively seek out opportunities to innovate by using Visa’s data, client’s data and non-traditional data fit for purpose to the needs of our clients

  • Enhance existing data science techniques by promoting new methodologies and best practices in the field

  • Promote thought leadership in the data science domain and build intellectual property through innovation

  • Effectively interact with clients and manage internal/external stakeholder communication

  • Mentor, guide and supervise data scientists involved in a project

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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

Qualifications

Degree (Masters or Ph.D. would be an advantage) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience

Minimum 8-10 years of professional work experience in analytics and data science

Additional Information

Visa has adopted a COVID-19 vaccination policy. As a condition of employment, all employees based in the country where this job is located are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Banking Computer Science Economics Engineering Mathematics Research Statistics

Perks/benefits: Career development Startup environment

Region: Asia/Pacific
Country: Indonesia
Job stats:  7  0  0
Category: Leadership Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.