Senior Data Scientist, Business Observability & AI Platform

JPMorganChase; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorganChase is expanding a fast-moving technology team building a business observability platform for Payments. This Data Scientist Senior Associate will own analytical integrity, validate data behind metrics, and define what qualifies as correct model behavior for production outputs.

You will partner with product, engineering, and design to shape the roadmap and communicate value to stakeholders, delivering intraday insights and real-time monitoring for operations teams.

Qualifications

• Bachelor's degree in a quantitative discipline.
• 2+ years of applied data analysis or data science experience, or an advanced degree with relevant internship/project work.
• Strong SQL with analytics and large-table performance awareness.
• Proficiency in Python and standard analytics stack (pandas, NumPy, scikit-learn).
• Knowledge of time series, forecasting, and anomaly detection.
• Experience with data quality testing and reconciliation.
• Ability to build clear visualizations and explain findings to non-technical stakeholders.

Responsibilities

• Perform exploratory and diagnostic data analysis across large transactional datasets.
• Define acceptance criteria for analytical features and verify releases.
• Design validation and back-testing for anomaly and forecasting models.
• Build and monitor model/data drift; recommend retraining when needed.
• Investigate analytical defects and reconcile outputs with upstream teams.
• Create clear visualizations and narratives for executives and operations.
• Collaborate with Product Owner on requirements and user-story refinement.

Skills

SQL analytics

Python

Time series

Data visualization

Data quality testing

Agile

Education

Bachelor's degree in quantitative field

Tools

Pandas

NumPy

scikit-learn

statsmodels

ClickHouse

Druid

BigQuery

Snowflake

Job description

JPMorganChase is expanding a fast-moving technology team building a business observability platform for Payments. This Data Scientist Senior Associate will own analytical integrity, validate data behind metrics, and define what qualifies as correct model behavior for production outputs.

You will partner with product, engineering, and design to shape the roadmap and communicate value to stakeholders, delivering intraday insights and real-time monitoring for operations teams.