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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 (https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html) 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

Data Science Product Manager

Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.

Overview:

As the Data Science Privacy Product Manager, you will drive the product development of machine learning (ML) solutions that power digital risk assessments around the world. The role is focused on inventing the next generation of ML-derived risk scores with Responsible AI at the forefront. Your work will ensure that Mastercard’s Privacy by Design principles are applied to the signals we deliver to our customers. As the product manager, you will lead efforts to research, design, and take to market innovative new solutions powered by data science. If you are intellectually curious, analytical, highly motivated, and want to make cybersecurity products with real-world impact – we want to hear from you!

Role:

In this position, you will:

Work deeply with data science and engineering to research, develop, and deploy machine-learning solutions.

Define the product strategy and roadmap for the proprietary Machine Learning Platform and related tooling.

Meet regularly with end customers to understand opportunities for new product capabilities and improvements.

Partner with sales teams, product marketing, and other product managers to identify business opportunities and deliver solutions to the market.

Drive improvements to the training data asset by building scalable tools and processes. Partner with legal, sales, and end customers drive data collection and quality improvements.

Monitor performance, collect customer feedback, and continuously improve the product offering.

All About You:

The ideal candidate for this position should have:

Product management experience; ideally in SaaS products.

Critical thinking and analytical skills to solve complex problems.

Technical experience working with APIs, databases, and data-centric applications. Ability to write SQL queries and Python scripts is a plus.

Strong written and verbal communication; can effectively articulate product decisions to technical and nontechnical stakeholders.

Business acumen and a proven track record to drive positive results for customers.

Ability to collaborate and deliver results within a team.

An entrepreneurial, self-starter mindset with a bias for action.

Intellectual curiosity.

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 reasonable_accommodation@mastercard.com 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.