Data Scientist Manager - WFO - Jakarta (ID: 708262)

• Position : Data Scientist Manager
• Location : Jakarta

Role Summary & Responsibility

• 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

Requirement

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

6+ 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.

Preferred to have a consulting background, whether working in a consulting company or having similar experience orchestrating complex solutions based on various stakeholders' input and current state understanding.

Strong understanding of payments and/or banking Industry including consumer credit, consumer debit, small business, commercial, co-brand and merchant

• Strong hold on MS Excel and PowerPoint
• Strong commercial acumen, with experience in working on business/value cases that prove ROI

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