Job Title:

Senior Data Scientist, Sustainable Technology

Overview:

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, GCP, 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.

To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.