Manager - Data Scientist – AI /ML

Key Skills

Aartificial intelligence, Data science techniques, Effective communication skills, Machine learning techniques, Mathematical modeling, Microsoft-Excel, PowerBI, Powerpoint, Project management, Python Programming, R Programming, SQL, Tableau, Writing

Job Description

Data & Analytics team build internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.

• Are you excited about Data Assets and the value they brings to an organization?
• Are you an evangelist for data driven decision making?
• Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents?
• Do you want to be the go-to resource for data analytics in the company?

All About You

• Diverse experience in AI model development. Experience with data modeling and data exploration tools.
• Coach, train and mentor team on scalable data and machine learning solutions
• Build and deploy end to end ML models and leverage metrics to support predictions, recommendations
• Define best AI/ML/stats driven practices
• Oversee model training and optimization
• Strong knowledge of latest AI/ML technologies and trends, including various libraries and tools
• Experience across data analytics project lifecycle - data management, data mining, data analytics, data reporting, data product development
• Experience with data visualization tools such as Tableau, PowerBI a plus
• Experience with Hadoop environments, SQL, Python, R
• Excellent problem solving, quantitative and analytical skills
• Team player, excellent communication skills
• Must be able to interact with management, senior stakeholders and collect requirements
• Must be able to perform in a team, use judgment and operate under ambiguity

Role

• Work closely with global & regional teams to architect, develop, and maintain advanced reporting and AI/ML capabilities on large volumes of data in order to support analytics and reporting needs across products, markets and services.
• Translate business requirements into tangible solution specifications and high quality, on time deliverables
• Create repeatable processes to support development of modeling and reporting
• Effectively use tools to manipulate large-scale databases, synthesizing data insights. Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint.
• Apply quality control, data validation, and cleansing processes to new and existing data sources

Education

• Bachelor’s or Master’s Degree in Mathematics, Statistics Engineering.
• Advanced data science and mathematical skills (e.g. PhD in modeling, machine learning, statistics, computer science) will be preferred

Additional Competencies

• Able to prioritize and perform multiple tasks simultaneously
• Creativity/Innovation
• Excellent English, quantitative, technical, and communication (oral/written) skills
• Analytical/Problem Solving
• Strong attention to detail and quality
• Self-motivated, operates with a sense of urgency
• Project Management

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard’s security policies and practices;

• Ensure the confidentiality and integrity of the information being accessed;

• Report any suspected information security violation or breach, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.