Lead Data Scientist - Arch & Tech / Software Engineering Guild (mastercard)

Job Description

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Lead Data Scientist - Arch & Tech / Software Engineering Guild

Overview (all about A&T and SE Guild)
Mastercard is a leading technology company dedicated to leveraging data-driven insights to solve complex problems and drive innovation. We specialize in developing advanced analytics solutions that empower organizations across industries to make informed decisions, optimize operations, and unlock new opportunities for growth and success.

We are looking for an experienced data scientist with a passion for technological innovation who has off-the-charts curiosity, a can-do attitude, and strong sense of ownership. Architecture & Technology (A&T) and the Software Engineering Guild is the perfect opportunity for you. A&T is the Office of the CTO function working on advanced engineering topics, standards, strategy, and governance for Mastercard's platforms and software engineering practices. The Software Engineering Guild brings together over 7,000 software engineers to drive best practices, provide learning opportunities, and develop talent. In both areas, you will work closely with cross-functional teams to develop insights into our solutions and engineering practices that help identify opportunities, shape our direction, set our priorities, and measure impact.
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Key Responsibilities
As a Data Scientist, you will lead the design and development of innovative machine learning models and data analytics solutions to address key business challenges, drive strategic initiatives, and deliver actionable insights for internal departments.
• Leads complex initiatives and projects to derive insights from extracted data to 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.


All 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.

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. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.