Senior Data Scientist, Payments Observability & AI

Fairygodboss; Jersey City (NJ); On-site; USD 120,000 - 170,000; Full time

Job summary

JPMorganChase is seeking a Data Scientist Senior Associate to own the analytical integrity of metrics and outputs within the Business Observability & AI Platform in Payments. You will validate 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 the roadmap and how we communicate value to stakeholders, while delivering

Qualifications

• Bachelor's degree in a quantitative discipline (Statistics, Mathematics, CS, Economics, Engineering, or similar).
• 2+ years of applied data analysis or data science, or 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 with analytical functions

Python data stack

Time series analysis

Data quality testing

Data visualization

Stakeholder communication

Agile environment

Education

Bachelor's degree in quantitative discipline

Tools

ClickHouse

Druid

BigQuery

Snowflake

Job description

JPMorganChase is seeking a Data Scientist Senior Associate to own the analytical integrity of metrics and outputs within the Business Observability & AI Platform in Payments. You will validate 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 the roadmap and how we communicate value to stakeholders, while delivering