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Mastercard · 1 day ago

Senior Data Scientist, Sustainable Technology

O'Fallon, MO

Full-time

Onsite

Mid, Senior Level

$115K/yr - $184K/yr

3+ years exp

Mastercard is a global leader in digital payments, committed to building a sustainable economy. The Senior Data Scientist for Sustainable Technology will drive the development of data strategies and frameworks, ensuring effective data utilization and collaboration across teams to deliver Data & Analytics Services.

FinanceFinancial ServicesInformation TechnologyPayments

Growth Opportunities

H1B Sponsor Likely

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

Qualification

Data EngineeringETL/ELT processesData VisualizationSQLPythonHadoopCloud platformsData Quality ManagementProblem-solvingLeadershipCommunication skillsCollaboration

Required

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field

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

Broad understanding of Software Engineering Concepts and Methodologies is required

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 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

Preferred

3+ years of experience in delivering secure solutions in Financial Services Sector is preferred

Experience with Alteryx, SSIS, NiFi, Spark, Cloudera Machine Learning, S3 Protocol, PowerBI, NoSQL data structures, Splunk, Databricks, (added advantage)

Benefits

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

Company

Mastercard

Glassdoor4.2

Mastercard is a financial network that processes payments between banks and cardholders.

Founded in 1966

Purchase, New York, USA

10001+ employees

http://www.mastercard.com

H1B Sponsorship

Mastercard has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (540)

2024 (319)