Senior Data Scientist, Payments Observability & AI Platform

Socket.dev; New Jersey; On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking a Data Scientist Senior Associate within the Business Observability & AI Platform in Payments. You will own the analytical integrity of what we ship, validate the data behind key metrics, and define what “correct” looks like for models.

You will work closely with product, engineering, and design to shape the roadmap and how we communicate value to stakeholders, and you will ensure anomaly detection and forecasting outputs stay trustworthy in production.

Qualifications

• 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.

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.

Skills

SQL

Python

Time series analysis

Forecasting

Anomaly detection

Data visualization

Education

Bachelor's degree in a quantitative discipline

Tools

pandas

NumPy

scikit-learn

statsmodels

Job description

JPMorganChase is seeking a Data Scientist Senior Associate within the Business Observability & AI Platform in Payments. You will own the analytical integrity of what we ship, validate the data behind key metrics, and define what “correct” looks like for models.

You will work closely with product, engineering, and design to shape the roadmap and how we communicate value to stakeholders, and you will ensure anomaly detection and forecasting outputs stay trustworthy in production.