Job Summary
As a Data Science Associate in our Merchant Services Cost Insights team, you will play a pivotal role in developing AI-driven models that automate repeatable tasks, creating efficiencies in business processes to drive value and growth. You’ll engage in projects that integrate data science, research, and business domain expertise, focusing on cost-based analytics, business intelligence, data engineering, and visualization.
Your work will involve leveraging your technical skills and business acumen to collaboratively design and implement end-to-end solutions with tangible commercial impact for our clients and customers. Our team supports both internal Payment Insights and external Digital Merchant Insights applications, as well as custom client analytics requests on an ad hoc basis.
Utilizing tools such as Snowflake, Python, and Tableau, you will develop data pipelines and dashboards, prototype new generative AI capabilities and features, and ensure the quality and integrity of our intelligent solutions. Your contributions will help streamline operations, enhance decision-making, and foster growth through innovative AI applications.
Job Responsibilities
Creation of chat assistants using multi-agent AI workflows.
Conceptualize solutions that automate and optimize business processes.
Design and refine prompts to improve AI model performance. Work with subject matter experts to align prompts with business goals and user needs.
Provide merchants with actionable recommendations to enhance their cost strategies.
Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
Use tools like Snowflake, Python, and Tableau to create data pipelines and dashboards. Support AI-driven insights and decision-making.
Monitor AI model performance. Identify areas for enhancement. Implement updates to maintain quality and relevance.
Work collaboratively with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms.
Support internal Payment Insights and external Digital Merchant Insights applications, as well as custom client analytics requests on an ad hoc basis.
Required Qualifications, Capabilities, and Skills
Bachelor’s Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field.
Proficiency in Python and SQL for data processing and analysis.
Expertise in quantitative research techniques and analytics using Python.
Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables.
Knowledge of machine learning/data science theory, techniques, and tools.
Experience in leveraging Large Language Models (LLMs) and agent AI techniques.
Ability to collaborate effectively and cultivate strong partnerships.
Preferred Qualifications, Capabilities, and Skills
Experience in data analysis, data science, or a related field.
Ability to perform rapid prototyping in Tableau and streamlit.
Familiarity with AWS, Snowflake for data management and analysis.
Attention to detail with a proven ability to learn new concepts and skills quickly.
Understanding of quality assurance practices and the importance of data integrity.
Ability to clearly develop and document analytic requirements with stakeholders.