Senior Data Scientist - MasterCard

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 Senior Data Scientist Job Description: Lead, Applied Data Science Mastercard is a world leading payments and technology company with the aspiration to help reshape the digital economy so everyone can realize their ambitions. Technology is our product, and we pride ourselves in using the latest technologies to create secure, customer centric experiences. 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. Overview Job Title Lead Data Scientist Reporting to the Director of Applied AI and working with the TST Applied Data Science team, the Lead Data Scientist will drive enterprise-level impact from data science solutions by defining technical approaches to business problems, rapidly prototyping and developing models, and working with ML Engineers to bring models up to full production scale. The Role 1/ Define technical approaches to business problems • Work with AI stategy managers to define high-level business and technical designs for data science and analytics solutions • Co-create and validate solution designs with data science colleagues • Propose logical versioning strategies to iteratively build solutions from PoC to mature end state 2/ Rapidly prototype and develop models • Research cutting edge approaches and design and execute small PoCs to select the optimal approach. • Iteratively develop models with frequent feedback from business partners and technical leaders • Design and assist in the development of end-to-end model pipelines, from data aggregation and cleaning to model validation and visualization 3/ Bring models up to full production scale • Assist ML engineers in designing applications to run your models at scale • Develop drift monitoring strategies and tests to ensure your models are performing in live production settings • Deploy frequent updates to live models to constantly increase business impact All about you • 2+ years of industry experience in data science • Strong experience in Python • Extensive expertise in statistical modeling, machine learning algorithms, and predictive analytics. • Highly structured and organized work planning skills • Strong understanding of the AI development lifecycle • Proficiency in big data technologies like Hadoop, Spark, or similar frameworks. Experience with graph databases a plus. • Excellent skills in data visualization and interpretation using tools such as Tableau, Jupyter, RShiny, etc • Demonstrated history of successfully delivering high-quality, data-driven solutions, including deploying production-level machine learning models and executing complex business intelligence projects. • Excellent communication skills, capable of explaining complex data concepts in simple terms. • Experience in working with cloud computing platforms like AWS, Azure, or Google Cloud. • Proven track record of delivering data products in environments with strict adherence to security and model governance standards. • Bachelor's degree in computer science, analytics, mathematics, statistics, economics, industrial engineering, or physical sciences. Master’s degree in one of these disciplines preferred. Mastercard is an inclusive Equal Employment 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. If you require accommodations or assistance to complete the online application 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. In the US, Mastercard is an inclusive Equal Employment 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. If you require accommodations or assistance to complete the online application 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. Pay Ranges New York City, New York: $138,000 - $221,000 USD Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.