Data Scientist [Multiple Positions Available]
About The Position
This role involves building and managing reports, dashboards, and analytical tools using business intelligence platforms to analyze payment data. The position spearheads migration from on-premises and legacy platforms to modern, cloud-based architectures. Responsibilities include developing and optimizing advanced queries for large datasets, ensuring efficient data processing and transformation in cloud environments. The role also leads the design, prototyping, and strategizing of advanced modeling, predictive analytics, and generative AI solutions for Merchant Services, with a focus on data-driven sales. Additionally, it directs solution architecture and development, collaborating cross-functionally with data scientists, governance teams, data owners, the Chief Data & Analytics Office, and engineering to deliver impactful business outcomes. The position also involves leading product pricing strategy by providing market rate estimates and recommendations, monitoring client and portfolio profitability, modeling the impact of network fee changes, and identifying opportunities to enhance the product's value proposition.
Requirements
- Master's degree in Information Technology and Management, Computer Science, Business Analytics, Information Systems, or a related field of study.
- 4 years of experience in the job offered or as Data Scientist, Software Engineer, Marketing Analyst, Data Analyst, or in a related occupation.
- Leveraging understanding of finance, banking, and payments to analyze data and build business intelligence products.
- Using SQL to write queries, optimize performance, and manage datasets.
- Working in cloud based data platforms including Snowflake and Databricks.
- Utilizing productivity and collaboration tools including Bitbucket, Jira, and Confluence for development.
- Utilizing Agile development, leveraging Agile and Scrum methodologies to deliver projects.
- Orchestrating autonomous Artificial Intelligence agent systems and developing business intelligence products using generative AI and Large Language Models(LLMs) in Python, leveraging prompt engineering, fine-tuning LLMs, and implementing Retrieval-Augmented Generation (RAG) systems.
- Designing and implementing statistical modeling using SQL and Python to build predictive analytics and Dynamic pricing models.
- Collaborating with data scientists, governance teams, data owners, and engineering teams to develop business intelligence tools.
Responsibilities
- Build and manage reports, dashboards, and analytical tools using business intelligence platforms to analyze payment data.
- Spearhead migration from on-premises and legacy platforms to modern, cloud-based architectures.
- Develop and optimize advanced queries to manage large datasets, ensuring efficient data processing and transformation in cloud environments.
- Lead design, prototyping and strategize advanced modeling, predictive analytics and generative AI solutions for Merchant Services, with a focus on data-driven sales.
- Direct solution architecture and development, collaborating cross-functionally with data scientists, governance teams, data owners, the Chief Data & Analytics Office, and engineering to deliver impactful business outcomes.
- Lead product pricing strategy by providing market rate estimates and recommendations that balance client savings with firm profitability.
- Monitor client and overall portfolio profitability and deliver actionable insights to inform pricing and strategic decisions.
- Model the potential and future impact of network fee changes on product economics, ensuring informed decision-making and long-term financial sustainability.
- Identify and develop opportunities to enhance the product's value proposition.
- Manage key client discussions, support business development, and analyze firm-wide economic implications.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
