Strategic and Functional Excellence
- Possess strong business acumen with the ability to align data analysis with client business needs, especially in the payments space.
- Expert in detailing out user stories with precise implementation details, ensuring adherence to Agile sprint-based best practices.
- Strong problem-solving skills with the ability to propose feasible solutions and effectively communicate them to stakeholders.
- Excellent communication and presentation skills, with the ability to engage with cross-functional team members at various levels.
- Willingness and ability to learn new tools and paradigms as data science technologies continue to evolve at Visa and in the industry.
- Intellectually curious, with a passion for continuous learning and improvement.
Technical Skills
- Hands-on experience with machine learning model implementation, deployment, and management.
- Proficiency in a wide range of machine learning techniques, including clustering, decision tree learning, artificial neural networks, and a strong understanding of their practical applications and limitations.
- Strong programming skills in building data pipelines using PySpark, Hive, and Airflow.
- Experience with scheduling tools (e.g., Airflow, Oozie) and building data processing orchestration workflows.
- Practical experience in large-scale data ingestion, processing, and storage within the Hadoop ecosystem.
- Expertise in writing and optimizing SQL queries in a Big Data environment.
- Comfortable working in a Linux/Unix environment with command line utilities.
- Experience in building, integrating, and managing code within a CI/CD framework using Git.
- Skilled in managing the operations of ML models, including debugging issues and providing timely fixes.
People Leadership and Stakeholder Management
- Strong interpersonal and leadership skills, with the ability to influence and build credibility with senior leaders across the organization.
- Collaborative and flexible team player, with the ability to work effectively in cross-functional teams and tackle complex challenges.
- A self-starter who can take initiative, make sound judgment calls, and advance work independently without unnecessary delays.
- Known for building trusted relationships despite competing priorities, and able to effectively manage stakeholder expectations.
- Open-minded, actively listens to new ideas and solutions, and is adaptable when processes need to evolve.
Qualifications
- Bachelor's Degree in Computer Science, Information Science, Machine Learning, Data Engineering, Analytics, or a related field.
- 4+ years of relevant work experience in data science and machine learning.
- 2+ years of experience leading data/ML projects.
- Strong foundational knowledge of common data tools and methodologies.
This role is perfect for candidates who are passionate about machine learning, data engineering, and collaborating with diverse teams to drive innovation in the payments industry.