Senior Associate Data Scientist

JPMorgan Chase

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Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
41 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $166k
$109k most similar roles pay here $219k

This listing doesn't post a salary. Most similar roles pay $135,225–$197,100.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1151 open roles on FindRole.

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At a glance

TL;DR · Senior Associate Data Scientist

As a Senior Associate, Data Scientist - PXT Analytics, you will join the People Analytics team to measure and improve developer productivity and technology efficiency across major engineering initiatives. You will be responsible for sourcing, developing, and tracking metrics related to software delivery performance, including CI/CD improvements and generative AI solutions within development workflows. Your daily work involves building analytical models, creating scalable data pipelines, and designing experiments to test tool adoption. You will analyze complex datasets such as pipeline telemetry and developer activity logs to identify bottlenecks and quantify the impact of various initiatives. To succeed, you must be proficient in SQL, Python, Tableau, Snowflake, Databricks, or Redshift. You will also utilize machine learning, statistical modeling, and data mining to translate technical findings into actionable insights for cross-functional partners in Technology and Finance.

What does a Data Scientist earn?

Median $162000 from 287 postings across 62 companies.

See salary data

What you'll do

  • Translate business objectives into measurable productivity and efficiency frameworks for engineering teams.
  • Analyze large datasets from CI/CD pipelines and developer activity to identify bottlenecks and trends.
  • Build analytical models to quantify the impact of AI-assisted development and other workflow improvements.
  • Design and conduct experiments to test hypotheses regarding tool adoption and process changes.
  • Create and maintain dashboards and reports for key metrics like cycle time and throughput.
  • Develop and maintain analytics engineering pipelines to provide reliable data for modeling and reporting.
  • Establish consistent, enterprise-wide measurement frameworks to benchmark progress over time.

What we're looking for

  • 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 (preferred).
  • Four years of experience in data science, analytics, or a related role.
  • Proficiency in data analysis and visualization using SQL, Python, Tableau, or similar tools.
  • Experience with data warehousing and analytics platforms such as Snowflake, Databricks, Amazon Redshift, or similar technologies.
  • Strong foundation in machine learning, statistical modeling, and data mining.
  • Ability to define new metrics and measurement frameworks in ambiguous problem spaces.
  • Experience with Agile environments, project tracking tools, analytics engineering, software delivery metrics, and AI-assisted coding tools (preferred).

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