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# Senior Associate, Data Scientist - PXT Analytics

- **Company:** JPMorgan Chase & Co.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Continuous Integration, Data Files, Data Mining, Data Warehousing, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, SQL Databases, Tableau (Software), Snowflake, Information Technology, Data Analytics, Data Delivery, Amazon Redshift, Databricks
- **Published:** August 6, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-associate-data-scientist-pxt-analytics-usa-58812177

## About the Role

and workflow changes * Create and maintain dashboards, reports, and web views of key efficiency metrics (cycle time, throughput) * Build and maintain analytics engineering pipelines for reliable, scalable data delivery * Stay current on best practices in developer productivity measurement, AI-assisted development, and analytics engineering Tasks * Bachelor's degree in Mathematics, Data Science, Statistics, Computer Science, or related field * Four years of experience in data science, analytics, or related role * Ability to define new metrics and measurement frameworks in ambiguous spaces * Proficiency in SQL, Python, Tableau or similar tools * Experience with data warehousing and analytics platforms (e.g., Snowflake, Databricks, Redshift) * Strong foundation in machine learning, statistical modeling, and data mining * Strong problem-solving skills with ability to derive actionable insights * Excellent written, verbal, and presentation communication skills Key requirements * aaaaaaaaaaac
_ health care coverage * retirement savings plan * backup childcare * tuition reimbursement * mental health support * equity

## Description

Experteer Overview In this role you drive measurable improvements in developer productivity and technology efficiency by turning complex engineering and finance data into actionable insights. You'll build metrics and models to quantify impact across CI/CD and AI-enabled workflows, partnering with Technology and Finance to inform decisions. You'll work with diverse data sources to benchmark progress and support enterprise-wide measurement frameworks. This is a hands-on, impact-driven opportunity to shape how software delivery scales in a leading financial services firm. Compensation / Benefits * Translate business objectives into measurable productivity and efficiency frameworks with cross-functional teams * Analyze large, complex data sets (CI/CD data, developer activity logs, AI tool usage) to identify trends and bottlenecks * Build models to quantify productivity impact of AI-assisted development and CI/CD improvements * Design and run experiments to test hypotheses on tool adoption and workflow changes * Create and maintain dashboards, reports, and web views of key efficiency metrics (cycle time, throughput) * Build and maintain analytics engineering pipelines for reliable, scalable data delivery * Stay current on best practices in developer productivity measurement, AI-assisted development, and analytics engineering Tasks * Bachelor's degree in Mathematics, Data Science, Statistics, Computer Science, or related field * Four years of experience in data science, analytics, or related role * Ability to define new metrics and measurement frameworks in ambiguous spaces * Proficiency in SQL, Python, Tableau or similar tools * Experience with data warehousing and analytics platforms (e.g., Snowflake, Databricks, Redshift) * Strong foundation in machine learning, statistical modeling, and data mining * Strong problem-solving skills with ability to derive actionable insights * Excellent written, verbal, and presentation communication skills Key requirements * comprehensive health care coverage * retirement savings plan * backup childcare * tuition reimbursement * mental health support * equity


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