Data Scientist
Role details
Job location
Tech stack
Job description
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., Data Scientist As a data scientist on our team, you will have the opportunity to 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. You will have the opportunity to 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), 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.
Requirements
The ideal candidate is highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset., 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. Financial Institution or a Payments experience a plus Bachelor's or Master's Degree in Economics, Computer Science, Information Technology, Engineering, Mathematics, Statistics
Benefits & conditions
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 and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. 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 of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges New York City, New York: $110,000 - $176,000 USD