Our PurposeMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and SummarySenior Data Scientist, Sustainable Technology
Job Overview:
As the Senior Data Engineer / Scientist for Mastercard's Sustainable Technology, you will be the driving force behind the development and execution of cutting-edge data strategies and data environment frameworks. Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will collaborate with cross-functional teams and establish data-related best practices in alignment with Mastercard standards.
Responsibilities:
Design, develop, and maintain new data capabilities and infrastructure for Mastercard's Sustainable Technology Internal Data Lake.
Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments.
Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation.
Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions.
Work with large datasets, ensuring data quality, accuracy, and performance.
Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs.
Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency.
Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security.
Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes.
Document data processes, data lineage, and technical specifications for future reference.
Participate in code reviews, ensuring adherence to coding standards and best practices.
Collaborate with DevOps teams to automate deployment and monitoring of data pipelines.
Additional tasks as required.
All About You
Education:
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
Knowledge / Experience:
Proven experience as a Data Engineer / Scientist or similar role.
Deep understanding of data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning, and data lifecycle management.
Proficiency in designing and implementing data tools, technologies, and processes.
Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling.
Strong command of data integration techniques and data quality management.
Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, Alteryx, NiFi, SSIS, etc.
Familiarity with cloud platforms and services, such as AWS, Google Cloud Platform, or Azure.
Excellent problem-solving skills and ability to provide innovative data solutions.
Strong leadership skills with a proven track record of guiding and mentoring a team.
3+ years of experience in related field.
3+ years of experience in delivering secure solutions in Financial Services Sector is preferred.
Broad understanding of Software Engineering Concepts and Methodologies is required.
Demonstrate MC Core Competencies.
Skills/ Abilities:
Must be high-energy, detail-oriented, proactive and have the ability to function under pressure in an independent environment.
Experience building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage.
Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment.
Experience working with databases like MS SQL Server, Oracle, and strong SQL knowledge.
Experience in BI tools like Tableau, Power BI.
Experience with Alteryx, SSIS, NiFi, Spark, Cloudera Machine Learning, S3 Protocol, PowerBI, NoSQL data structures, Splunk, Databricks, (added advantage)
Experience automating data flow processes in a Big Data environment.
Pulling in data from various monitoring platforms to aggregate and enable data science work to support ESG (ie sustainable impact)
Must provide the necessary skills to have a high degree of initiative and self-motivation to drive results.
Possesses strong communication skills -- both verbal and written - and strong relationship, collaborative skills and organizational skills.
Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team.
Mastercard is a merit-based, 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. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact 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 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 RangesO'Fallon, Missouri: $115,000 - $184,000 USD
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