Lead Data Scientist

1 week ago

O Fallon, United States Mastercard Full time
About the Role

We are seeking a highly skilled Data Scientist to join our team at Mastercard. As a key member of our Architecture & Technology (A&T) and Software Engineering Guild, you will play a critical role in driving innovation and delivering actionable insights to support our business objectives.

Key Responsibilities
  • Lead complex initiatives and projects to derive insights from extracted data and solve critical business questions.
  • Conduct exploratory data analysis and feature engineering to uncover patterns, trends, and insights hidden within large and complex datasets.
  • Develop scalable and efficient data pipelines and workflows from rich data sources, including APIs for processing, transforming, and analyzing data at scale.
  • Provide data science expert opinion in support of A&T engagements such as M&A technology due diligence, third-party architecture and tool reviews, etc.
  • Identify automated methods to review policy compliance across Mastercard using data from a variety of sources.
  • Establish heat maps using data sources such as IT Service Management metrics, source code repositories, application lifecycle management tools, code quality tools, and production usage statistics to identify areas of software engineering focus.
  • Develop machine learning models and algorithms to evaluate the lifecycle of approved 3rd party approved technologies.
  • Lead and collaborate with other data scientists to create models for Software Engineering Guild projects such as modeling for developer productivity insights or for predicting system performance.
  • Explore correlations between patterns, environments, and standard blueprints, evident in code and/or deployment artifacts, with maintainability and operational characteristics.
About You
  • Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques, with experience applying them to real-world problems.
  • Excellent problem-solving and analytical skills, with the ability to translate complex business requirements into practical data science solutions.
  • Experience creating and delivering presentations for internal learning, training events, and/or business discussions.
  • Demonstrated success interacting with senior leadership, and collaborating with partners across other business units and markets to support cross-functional programs.
  • Experience managing day-to-day cross-functional communications and collaboration to meet project deadlines.
  • Demonstrated success in collaborating and effectively communicating project outcomes, methodologies, and considerations to technical and non-technical key stakeholders.
  • Proficiency in programming languages such as Python or R, as well as experience with CI/CD, Source Code Management, data manipulation, analysis libraries, and tools such as Alteryx and DOMO.
What We Offer

Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We offer a competitive compensation package, including a base salary, annual bonus, and comprehensive benefits, including health insurance, paid time off, and retirement savings plan.

We are committed to creating a diverse and inclusive work environment that fosters innovation, creativity, and collaboration. If you are a motivated and talented individual who is passionate about data science and innovation, we encourage you to apply for this exciting opportunity.

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