Senior Data Scientist

Experiences:

• Proven experience in managing deadlines in a fast-paced agile environment, delivering quality ad-hoc reporting and analysis while meeting strategic project deadlines and expectations.
• Demonstrated ability to cleanse, manage, interrogate and manipulate large data sets.
• Experience in leveraging open source tools, predictive analytics, machine learning, and other data techniques to perform analyses for both product development teams and customers.
• Track record developing and updating dashboards intended to track product performance and related trends.
• Proven experience in report writing, QA and working with development teams on move-to-production process.
• Extensive experience leveraging open source tools, predictive analytics, machine learning, and other data techniques to perform complex analyses for project work.

Qualifications:

• Ability to execute data analysis and modeling directly and with expediency with relevant tools.
• Critical Thinker; you don’t just follow the common wisdom, but can think critically to determine which tactics, ideas and objectives are right for our data operations to scale.
• Ability to speak technically with engineers on data structures and data types and work in partnership to develop customer solutions.
• Effective Communicator who works well with both internal and external customers.
• A positive attitude; lots of hustle; friendly, and fun to work with.
• Demonstrate Mastercard Core Competencies – trust, partnership, initiative, and agility.

Key Skills:

• Advanced Statistical Analysis. 
• Machine Learning. 
• Big Data Technologies. 
• Data Visualization. 
• Business Acumen and Industry Knowledge. 
• Project Management and Leadership. 
• Communication and Presentation Skills.
• Critical Thinking and Problem-Solving.