Data Scientist

Our PurposeWe 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 SummaryData ScientistServices 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.The Model Services team within Mastercard's Merchant and Acquirer Solutions is dedicated to leveraging advanced analytics and machine learning to enhance decision-making and drive innovative solutions. We focus on building, deploying, and maintaining predictive models that provide insights and solutions for our merchants and acquirers. If you are passionate about data science and want to be at the forefront of transforming the payments industry, we want to hear from you.Job DescriptionAs a Data Scientist in the Model Services team, you will be instrumental in designing, developing, and implementing advanced machine learning models to support our merchant and acquirer solutions. You will work with large datasets, apply state-of-the-art algorithms, and collaborate with cross-functional teams to deliver impactful insights and solutions.Key Responsibilities- Develop and deploy predictive models using machine learning techniques to address business challenges within Merchant and Acquirer Solutions.- Collaborate with data engineers, product managers, and stakeholders to understand business requirements and translate them into data-driven solutions.- Perform exploratory data analysis to uncover trends, patterns, and insights that drive strategic decisions.- Monitor, maintain, and continuously improve the performance of deployed models in production.- Communicate complex analytical concepts and results to non-technical stakeholders in a clear and concise manner.- Stay up-to-date with the latest developments in data science, machine learning, and payment technologies to ensure the team is using cutting-edge tools and techniques.Qualifications- Strong foundation in data science, machine learning, or related fields, with a proven track record of building and deploying predictive models.- Proficiency in programming languages such as Python, R, or Scala.- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).- Strong understanding of statistical methods and data modeling.- Experience working with large datasets and data processing tools (e.g., Hadoop, Spark).- Excellent problem-solving skills and the ability to work in a fast-paced environment.- Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.- Master’s degree in quantitative fields is preferred, but not required.Nice to have - Qualifications- Experience in the payments industry or financial services.- Familiarity with cloud platforms such as AWS, GCP, or Azure.- Knowledge of big data technologies (e.g., Hive, Pig) and data visualization tools (e.g., Tableau, Power BI).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 ResponsibilityAll 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.