Senior Data Scientist

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

Job Description

• Identify innovation opportunities around data and data-related processes that will help our clients implement fact-based decisioning processes within their cards and payments program.
• Work entails heavy focus on transaction data modelling and analytics for cards and payments products. Work with a broader team that consists of Business Managers, Consultants, and Data Scientists from both the company and client organizations to strategize, co-create, deploy, and reap the benefits of data-driven solutions.
• Collaborate with internal Technology partners and Data Engineering function to best leverage the company's internal technology platforms, data, and the broader company ecosystem to support our clients’ technical data needs.
• Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges.
• Review, direct, guide, and inspire the analytical work of junior members in the team.
• Champion internal requirements around Model Risk Management, company Analytics Rules, and Global Privacy standards around client delivery to ensure that the company's highly regarded market standing is maintained.

Qualifications

• Minimum of 6+ years of expertise in applying Machine Learning solutions to business problems – model development and production experience required.
• Post-graduate degree (Masters or PhD) in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering.
• Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial, and co-branded products.
• Proven ability to deliver results within committed scope, timeline, and budget.
• Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL.

Location
Doha, Doha Municipality, Qatar

Work Conditions
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.