hackajob · 3 hours ago
Data Scientist Associate - Payments Data & Analytics
New York, NY
Full-time
Onsite
New Grad, Entry Level
$104K/yr - $140K/yrhackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. As a Data Scientist Associate in the Treasury Services team, you will leverage data science and technical skills to develop solutions that enhance payments analytics and generative AI applications for Chase Treasury Services clients.
Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware
Responsibilities
Learn our business and how JPMorgan delivers value for our clients globally
Leverage your technical skillset and curiosity to identify opportunities to help grow our TS business
Build and rigorously test new data and AI driven insights
Develop scalable frameworks for seamless AI model integration across business applications. Ensure solutions can adapt and expand as needed
Build and test AI agents. Iterate designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness
Use tools like Databricks, Python, Tableau and Sigma 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 on agile teams to support data-driven decision-making and client relationship management
Qualification
Required
Bachelor's degree in Science, Technology, Engineering, Mathematics (STEM) or related field
Proficiency in Python and SQL for data processing and analysis
Strong problem-solving and critical thinking skills
Experience in leveraging Large Language Models (LLMs) and agentic AI techniques
Ability to automate repeatable tasks to enhance business process efficiency
Preferred
Experience in data analysis, data science, or related fields
Familiarity with AWS, Databricks for data management and analysis
Understanding of quality assurance practices and the importance of data integrity
Knowledge of machine learning/data science theory, techniques, and tools
Awareness of big data technologies (e.g., Spark) and distributed computing concepts like MapReduce
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
hackajob
The AI-native tech hiring platform trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide.
Founded in 2014
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$33MKey Investors
Volition CapitalDowning VenturesTechstars
2023-05-03Series B· $25M
2018-10-25Series A· $6.7M
2017-03-31Seed· $0.58M
Leadership Team
Mark Chaffey
CEO
Phil Kell
VP - Marketplace
Recent News
2025-10-23
2025-09-26
2025-09-12
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