[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All JPMorganChase jobs](https://jobs.opennash.com/companies/jpmorganchase/) · [Search jobs](/search/) JPMorganChase · Jersey City, NJ # Data Scientist Senior Associate — Business Observability & AI Platform Jersey City, NJ, United States Senior individual contributor Data & Analytics Listed on JPMorganChase’s official careers site. Posted September 21, 2026. Check that it is still open and apply there. [Apply on JPMorganChase’s careers site →](https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210781042) [OpenNash Jobs](https://jobs.opennash.com/) / [JPMorganChase](https://jobs.opennash.com/companies/jpmorganchase/) / Data Scientist Senior Associate — Business Observability & AI Platform ## Job description Join a fast-moving technology team building a business observability platform for the Payments business—an analytics foundation that enables AI-assisted decision-making for senior leaders and real-time monitoring and alerting for operations teams. You’ll help deliver intraday transaction insights, anomaly detection, forecasting, and conversational analytics supported by a governed metrics foundation. As a Data Scientist Senior Associate at JPMorganChase within Business Observability & AI Platform in Payments, you will own the analytical integrity of what we ship. You will validate the data behind key metrics, define what “correct” looks like for models, and ensure anomaly detection and forecasting outputs remain trustworthy in production. You will partner closely with product, engineering, and design to shape both the roadmap and how we communicate value to stakeholders. ### Job responsibilities - Perform exploratory and diagnostic data analysis across large-scale transactional datasets to validate business logic, metric definitions, and data quality - Define and document acceptance criteria for analytical features, metrics, and model behavior; verify releases against them before sign-off - Design and run validation and back-testing for anomaly detection and forecasting models, including accuracy, precision/recall, false-positive rates, and threshold calibration - Build and operate model and data drift monitoring, and recommend retraining or recalibration when performance degrades - Investigate and triage analytical defects, reconciliation breaks, and unexpected model output with upstream data and platform teams - Create clear data visualizations and analytical narratives for executive and operational audiences, and contribute to product demos and stakeholder materials - Partner with the Technical Product Owner on requirements, user story refinement, and prioritization grounded in evidence from the data Required qualifications, capabilities and skills - Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Economics, Engineering, or similar) - 2+ years of applied data analysis or data science experience, or an advanced degree with relevant internship/project work Strong SQL, including analytical functions and performance-aware querying against large tables - Proficiency in Python and the standard analytics stack (pandas, NumPy, scikit-learn, statsmodels or equivalent) Working knowledge of time series analysis, forecasting methods, and anomaly detection techniques Practical experience with data quality testing, validation frameworks, and reconciliation - Ability to build clear, decision-ready visualizations and communicate findings to non-technical stakeholders Comfortable working in an agile, high-ownership environment with shifting priorities Preferred qualifications, capabilities and skills Experience with payments, transaction banking, or financial services data - Familiarity with semantic layers, metrics stores, or dimensional modeling Exposure to columnar or OLAP databases (ClickHouse, Druid, BigQuery, Snowflake) Experience defining model evaluation and drift monitoring in production - Familiarity with LLM-assisted analytics, evaluation of generated explanations, or prompt-based workflows Visualization tooling beyond notebooks (D3, Plotly, Tableau, or similar) #LI-RB3 ## At a glance - Posted by the employer: Sep 21, 2026 - First seen by OpenNash: Aug 21, 2026 - Last checked: Oct 20, 2026 - Listed for: 60 days - Location: Jersey City, NJ, United States[Apply on JPMorganChase’s careers site →](https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210781042) ## More jobs at JPMorganChase ### [Analytics Solutions Associate](https://jobs.opennash.com/companies/jpmorganchase/jobs/c99971e281823bcb1a89/) Jersey City, NJ, United States ### [Applied AI & Data Product Scientist](https://jobs.opennash.com/companies/jpmorganchase/jobs/7c0cf34c8d811fa9fe22/) Jersey City, NJ, United States ### [Applied AI ML Associate](https://jobs.opennash.com/companies/jpmorganchase/jobs/7bdf8f28804d9120bc8c/) Jersey City, NJ, United States ### [Applied AI ML Executive Director, Chief Data & Analytics Office](https://jobs.opennash.com/companies/jpmorganchase/jobs/c0f9065ef98d761bb5d1/) Jersey City, NJ, United States ### [Applied AI ML Lead - Generative AI](https://jobs.opennash.com/companies/jpmorganchase/jobs/6abc9c148b059994c958/) Jersey City, NJ, United States ## Similar jobs at other companies ### [Sr. Data Observability Analyst](https://jobs.opennash.com/companies/huntington-bank/jobs/afe5015b9c68cb1d4acf/) Huntington Bank · Columbus, OH ### [Data Scientist](https://jobs.opennash.com/companies/huntington-bank/jobs/5f9db862d9e9bcf6d14e/) Huntington Bank · Columbus, OH ### [Data Scientist](https://jobs.opennash.com/companies/genuine-parts/jobs/6b7e625b817603b4037b/) Genuine Parts · Montgomery, AL ### [Senior Data Scientist](https://jobs.opennash.com/companies/cargill/jobs/014d8c1c31b625580e04/) Cargill · Wayzata, Minnesota ### [Scientist III, Data Scientist, Bioprocess Digital Twin](https://jobs.opennash.com/companies/thermo-fisher-scientific/jobs/75eda90db7dc37e1f8e3/) Thermo Fisher Scientific · Grand Island, New York, United States of America OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)