Senior Data Scientist, Developer Productivity

JPMorgan Chase; Jersey City (NJ); On-site; USD 124,000 - 170,000; Full time

Job summary

JPMorgan Chase in Jersey City, NJ, is seeking a Senior Associate, Data Scientist in People Analytics to measure and improve developer productivity and technology efficiency across major engineering initiatives. You will source, develop, and track metrics tied to CI/CD improvements and AI tool usage within the development workflow.

You will build analytical models and scalable data pipelines, partnering with Technology and Finance to translate complex data into decisions that improve outcomes for

Qualifications

• Bachelor's degree in Mathematics, Data Science, Statistics, Computer Science, or a related field
• Four years of experience in data science, analytics, or a related role
• Ability to define new metrics and measurement frameworks in ambiguous problem spaces
• Proficiency in data analysis and visualization (SQL, Python, Tableau or similar tools)
• Experience with data warehousing and analytics platforms (Snowflake, Databricks, Amazon Redshift, or similar)
• Strong foundation in machine learning, statistical modeling, and data mining
• Strong problem-solving skills and ability to derive actionable insights from complex data sets
• Excellent written, verbal, and presentation communication skills

Responsibilities

• Collaborate with product managers, engineers, and stakeholders to translate business objectives into measurable productivity and efficiency frameworks
• Analyze large, complex data sets (e.g., CI/CD pipeline data, developer activity logs, and AI tool usage) to identify trends, bottlenecks, and improvement opportunities
• Build models that quantify the productivity impact of AI-assisted development, CI/CD enhancements, and other developer experience initiatives
• Design and run experiments to test hypotheses on tool adoption and workflow changes, validating outcomes for accuracy and reliability
• Create and maintain dashboards, reports, and web-based views of key efficiency metrics (e.g., cycle time, throughput, and operational performance indicators)
• Build and maintain analytics engineering pipelines to deliver reliable, scalable data for reporting and modeling
• Stay current on best practices in developer productivity measurement, AI-assisted development, and modern analytics engineering

Skills

SQL

Python

Tableau

Machine learning

Statistical modeling

Data mining

Excellent communication

Education

Bachelor's degree in Mathematics/Data Science/Statistics/CS

Master's degree (preferred)

Tools

Snowflake

Databricks

Amazon Redshift

Jira

dbt

Apache Airflow

Job description

JPMorgan Chase in Jersey City, NJ, is seeking a Senior Associate, Data Scientist in People Analytics to measure and improve developer productivity and technology efficiency across major engineering initiatives. You will source, develop, and track metrics tied to CI/CD improvements and AI tool usage within the development workflow.

You will build analytical models and scalable data pipelines, partnering with Technology and Finance to translate complex data into decisions that improve outcomes for