AI Data Scientist - Senior Associate
The AI Data Scientist will develop and implement generative AI solutions, including LLM-powered chat assistants and workflow automations, to drive business insights and process optimization. The role involves building data pipelines, refining AI models, and collaborating with stakeholders using Python, SQL, Snowflake, and Tableau.
- Compensation
- Not disclosed
- Location
- New York, NY, United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- Master’s Degree in STEM or related field
- Proficiency in Python and SQL
- 3+ years relevant work experience
- Expertise in quantitative research techniques and analytics using Python
- Knowledge of machine learning/data science theory, techniques, and tools
- Experience in leveraging Large Language Models (LLMs) and agent AI techniques
Nice to have
- Familiarity with AWS and Snowflake
- Understanding of quality assurance practices and data integrity
- Familiarity with evaluation/monitoring concepts for GenAI solutions
Full description
Corporate & Investment Bank, Wholesale Payments Data and Analytics is responsible for executing big data analytics projects in response to product innovation for Merchant Services. Tangible output of the programs are insights that drive optimization of location and targeted marketing strategy for small business merchants, as well as deep consumer and business insights. You’ll engage in projects that integrate data science, research, and business domain expertise, focusing on analytics, business intelligence, data engineering, and visualization.
As AI Data Scientist Senior Associate within Payments Data and Analytics, you 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, including chat assistants and workflow automations powered by LLMs and multi-agent patterns. You will develop data pipelines and dashboards, prototype and iterate on new generative AI capabilities and features, and ensure the quality, integrity, and reliability of our intelligent solutions through testing, evaluation, and monitoring. Your contributions will help streamline operations, enhance decision-making, and foster growth through innovative AI applications.
Job Responsibilities
- 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.
- 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.
- Partner with data owners, department managers, data engineers and other stakeholders to aid in the development of data models and algorithms
- Support Customer Insights applications, as well as custom client analytics requests on an ad hoc basis.
Required Qualifications, Capabilities, and Skills
- Master’s Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field.
- Proficiency in Python and SQL for data processing and analysis.
- 3+ years relevant work experience.
- 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.