Senior Manager, Data Science

• 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

• 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 Visas data clients 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 tea

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

Qualifications :

Basic 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.

Preferred 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 10 years of professional work experience in banking payments or related industry
• Hands on experience with data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive and a working knowledge of Hadoop ecosystem
• 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.

Remote Work :

No

Employment Type :

Full-time