Senior Manager, 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** Team Summary**

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.

The Business and Strategy Analytics team is part of the Intelligence and Data Solutions team, that partners with the Asia Pacific Regional President’s Office to enable Visa internal business units to optimize performance and profitability, and make data-driven decisions. The team provides management intelligence to democratize data insights across the organization and strategic analytics to identify opportunities and deep dive on key payment trends and shape the future of payments.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa

**What a Data Science Sr. Manager does at Visa**

The role reports to Management Intelligence Lead within the AP Business and Strategy Analytics team and will be based in Singapore

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
**Qualifications** What you will need**

**Technical**
- Post graduate degree in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics or engineering, or equivalent experience
- Experience in working with real-world data sets and building scalable models from large-scale data
- Hands on experience with multiple data analytics and data science programming tools and technologies such as SQL, Python, Hive, R, Spark, TensorFlow, PyTorch, scikit-learn, etc
- Proficiency in data visualization, and data visualization tools such as Tableau, PowerBI, etc
- Knowledge of statistical and data science techniques such as neural networks, gradient boosting, logistic regression, advanced forecasting techniques, etc

**Business**
- Results oriented with strong analytical and problem-solving skills, with demonstrated intellectual and analytical rigor
- Good business acumen with strong ability to solve business problems through data driven quantitative methodologies. Experience in cards/payments, retail banking, or retail merchant industries is important
- Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
- Detail-oriented and able to ensure highest level of quality/rigor in reports & data analysis
- Proven skills in translating analytics output to actionable recommendations, and delivery
- Experience in presenting ideas and analysis to stakeholders
- Exhibit intellectual curiosity and strive to continually learn

**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.