Job Title: Data Science Professional
Overview:
We are seeking a skilled Data Science Professional to accelerate the development of Payments AI solutions within our Data, Analytics, and AI product suite. This role involves designing, building, and testing features in an agile environment, working with small teams to drive Smarter Decisions and Better Outcomes for customers.
Responsibilities:
* Build and deploy AI solutions that work at scale.
* Design and implement data pipelines to support model deployments.
* Optimize large models for efficiency and scalability.
* Monitor AI models and applications deployed.
* Lead and own Machine Learning Operations.
* Prepare documentation for model deployment and processes.
* Conduct root cause analysis of data, pipeline, and other processes.
* Conduct data analysis for different use cases.
* Work as a member of an agile team to design, build, test, and deploy new products and features.
* Participate in code reviews, model review, testing, and debugging for high-quality products.
* Support building prototypes and proof-of-concepts.
* Promote better Development Practices, Code, and Solutions.
* Collaborate with internal teams and other teams across the company.
* Understand stakeholder needs, goals, expectations, and viewpoints to deliver results.
Requirements:
* Proven experience in developing and deploying Machine learning and Deep learning solutions.
* Deep understanding of different Machine learning, Deep learning, and AI algorithms.
* High proficiency in using Python and R.
* Hands-on experience on ML Frameworks (Scikit learn) and Deep Learning Framework (TensorFlow, PyTorch).
* Solid experience with SQL, Hadoop/Snowflake/Databricks databases.
* Good understanding of Cloud technology.
* Building and maintaining ML production pipelines.
* Curious, Critical thinker, good hacking skills, and scientific reasoning.
* Strong familiarity with Software engineering practices.
* Not afraid to ask questions and propose new ideas.
* Strong technologist eager to learn new technologies and frameworks.
Security Responsibility:
All activities involving access to our assets, information, and networks come with an inherent risk to the organization. It is expected that every person working for or on behalf of us is responsible for information security and must:
* Avoid violating Mastercard's security policies and practices;
* Ensure the confidentiality and integrity of the information being accessed;
* Report any suspected information security violation or breach;
* Complete all periodic mandatory security trainings in accordance with our guidelines.
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