Data Science Manager

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

The Data Science Manager will be a member of VCA Data Science team in Asia Pacific and will report to the Head of Data Science overseeing Indonesia market. The position will be based in Visa Indonesia office.

The individual will be accountable for delivery 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:

• Lead , execute and deliver data science engagements for Indonesia clients

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

• Prepare and deliver presentations to clients, effectively communicating insights, recommendations, and the value of data science solutions

• Build strong relationships with Visa partners and clients, and corresponding data science/analytics teams to drive collaboration and implementation of Visa recommendations, 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 in the project team

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

We are looking for a motivated, analytical minded individual with a track record of using data science and analytics expertise to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about payments industry and application of data analytics, should be results-driven and client-centric.

• Degree (Masters or Ph.D. would be an advantage) in Quantitative field such as Statistics, Mathematics, Physics, Computer Science, Economics, or engineering or equivalent experience
• 8+ years of professional work experience preferably in banking, payments, fintech, or a related industry.
• Hands -on experience with data analytics/programming tools such as Python, R and advanced skills in querying using SQL or other query languages.
• Hands-on experience working in Big Data ecosystems such as Hadoop, Spark, Hive, Kafka, GCP, AWS, and Azure. Experience with both on-prem and cloud environments is a plus.
• Hands-on experience with BI tools such as Power BI and Tableau.
• Proficiency in statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc.
• Demonstrated experience in planning, organizing, and managing multiple and concurrent analytics projects with diverse cross-functional stakeholders
• Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization
• Excellent presentation and storytelling skills, including strong oral and written capabilities
• Storyboarding and data storytelling including strong Excel and PowerPoint skills
• In-market experience and/or knowledge of local language, culture as well as industry regulations

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.