Senior Data Scientist, Test and Learn Job Listing at Mastercard in Arlington, VA (Job ID R-221447)

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

Senior Data Scientist, Test and Learn Overview

The Services team is a key differentiator for Mastercard, providing cutting-edge products and services that help our customers. Focused on thinking big and scaling quickly around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base including issuers, acquirers, and merchants. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business experimentation (Test & Learn), and data-driven information and risk management services.

Test & Learn

As a member of the Test & Learn team, you will pioneer industry-leading experimentation software which brings sophisticated analytic techniques to businesses and users around the world. We are rapidly building new products, improving existing products, and expanding the ways we deliver Test & Learn to our clients. We are looking for innovators who can execute and evolve our analytic strategy, tackling the big challenges of the future. This role will focus on analytic research; pushing the boundaries for our analytics by finding ways to apply new data science methods to top business challenges and translating it into novel products, and scalable commercial solutions.

Position Responsibilities

- Drive the research of new functionality within an analytics platform used by the world's largest organizations to make critical, multi-million-dollar decisions.
- Work cross-functionally with product management to understand and solve customer needs requiring novel analytic solutions.
- Work hand-in-hand with engineering teams to help guide the implementation of your analytic ideas into our products.
- Collaborate with leaders across the business unit to identify problems and drive innovative solutions.

All About You

- 5+ years' experience in data science OR equivalent graduate coursework.
- Strong technical aptitude and ability to understand complex technical concepts, coupled with strong business acumen to identify applications of technology to solve commercial questions.
- Experience applying innovative analytics to high volume datasets to influence business decisions.
- Strong knowledge and experience with R, Python, and SQL.
- Deep understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, ensemble methods, and deep learning.
- Experience with big data technologies such as Databricks, Hadoop, or other big data platforms.
- Hands-on experience with TensorFlow, Keras, or other machine learning libraries.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
- Exceptional project management and problem-solving ability, with a focus on setting ambitious and achievable goals, managing timelines across multiple workstreams, and prioritizing risk/benefit tradeoffs.
- Enthusiastic about opportunities to collaborate with and mentor teammates to foster a supportive and growth-oriented team culture.
- Degree(s) in statistics, mathematics, computer science, engineering, or similar area preferred

#AI

#LI-TE1 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.

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