Posted:1 week ago|
Platform:
Work from Office
Full Time
The AI & DPE team is responsible for product decisioning management and innovative product development under services business unit to address the evolving risk and security needs of all of Mastercard s various customer segments. AI & DPE team focuses on defining the strategic direction for underlying platforms to enable the successful implementation of real-time, data-driven innovative products and services focused on network, security, fraud, digital identity and authentication. The team is responsible to look across all the products/services to drive efficiency, re-usability and increase speed to market for our products and services. The candidate for this position will focus on driving actionable insights and build innovative solutions out of multiple data sources using analytics, machine learning and reporting capabilities. The Role: We are seeking a Senior Software Engineer who will: Partner with various teams (ie, Product Manager, Data Science, Platform Strategy, Technology) on requirement gathering in order to deliver analytics solutions that generate business value Perform data preparation by ingestion, aggregation, processing to drive and enable relevant insights from available data sets Identify and code the best suited data algorithm model for the relevant insights Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions Collect and synthesize feedback from clients, development, product and sales teams for new solutions or product enhancements All about You Strong SQL knowledge for data preparation and mining Strong knowledge of writing data/machine learning algorithm in Python or R Experience in doing data analysis and extraction on Hadoop Experience of working on at least one reporting tool - Tableau and PowerBI is a plus Experience in data modeling, programming, querying, data mining and report development using large volumes of granular data to deliver business intelligence and custom reporting solutions Exposure to collecting and/or working with data including standardizing, summarizing, offering initial observations and highlighting inconsistencies Strong understanding of the application of analytical methods and data visualization to support business decisions Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group
Mastercard
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