Senior Data Scientist, Developer Productivity & AI Metrics

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

Job summary

JPMorgan Chase in Jersey City seeks 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 software delivery performance, including CI/CD improvements and AI-enabled tooling.

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

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.
• 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 technologies).
• Strong foundation in machine learning, statistical modeling, and data mining.
• 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

Data visualization

Analytical thinking

Education

Bachelor's degree in Mathematics, Data Science, Statistics, Computer Science, or a related field

Master's degree in Mathematics, Data Science, Statistics, Computer Science, or a related field

Tools

Snowflake

Databricks

Redshift

Jira

Looker

dbt

Job description

JPMorgan Chase in Jersey City seeks 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 software delivery performance, including CI/CD improvements and AI-enabled tooling.

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