Data Scientist

Mastercard•New York, NY

1d•Hybrid

About The Position

Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. The Americas Startegy and Operation team is looking for a Data Scientist candidate to drive our customer experience strategy forward by consistently innovating and problem-solving. The ideal candidate is highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset.

Requirements

At least 2 years of experience in data management, data mining, data analytics, data reporting
Experience with data visualization tools such as Tableau, Domo, PowerBI, Excel, Power Point
Experience with Hadoop environments, Python, Spark, advanced SQL coding
Excellent organizational and documentation skills with attention to detail.
Excellent written and verbal communication skills.
Self-motivated, operates with a sense of urgency.
Able to prioritize and perform multiple tasks simultaneously.
Bachelor’s or Master’s Degree in Economics, Computer Science, Information Technology, Engineering, Mathematics, Statistics

Nice To Haves

Financial Institution or a Payments experience a plus

Responsibilities

Create high-performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data.
Develop and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services.
Develop data-driven innovative analytical solutions and identify opportunities to support business needs in a quantitative manner and facilitate informed recommendations/decisions by performing jobs in big data cluster by using different execution engines and program languages such as Hive/Impala, Python, Spark
Provide insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint
Adhere to hybrid work policy (Hybrid work is defined as 3 or more days per week on average working in the assigned Mastercard office)

Benefits

insurance (including medical, prescription drug, dental, vision, disability, life insurance)
flexible spending account and health savings account
16 weeks of new parent leave
up to 20 days of bereavement leave
80 hours of Paid Sick and Safe Time
25 days of vacation time
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