Senior Data Scientist - ML Ops & Data Pipelines Lead

JPMorgan Chase & Co.

Plano (TX)

On-site

USD 130,000 - 170,000

Full time

11 days ago

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Job summary

JPMorgan Chase & Co. is seeking a senior data science leader in Plano, TX to guide analytics strategy, build scalable data pipelines, and oversee complex modeling initiatives across multiple data sources.

You will mentor a team, implement standards, and ensure rigorous validation of insights for enterprise use. The role emphasizes backend data engineering, ML deployment, and real-time analytics to support risk, finance, and customer insights, with a focus on regulatory compliance and data

Qualifications

  • Requires a Master’s degree in Analytics, Data Science, Data Analytics, or related field with 5+ years of experience.
  • Experience with financial analysis, data manipulation, SQL, and BI tools like Tableau.
  • Proficiency in Python for data manipulation and visualization; strong knowledge of predictive modeling and ML techniques.

Responsibilities

  • Lead data science projects from framing to delivery, coordinating with stakeholders.
  • Conduct design reviews, set coding and modeling standards, and ensure analytical rigor and compliance.
  • Develop scalable data pipelines, analytics methods, and ML deployment to drive enterprise insights.

Skills

Financial analysis
Data manipulation
SQL
Python
Big data analysis
Predictive modeling
Anomaly detection
Cohort analysis
Machine learning
NLP

Education

Master's degree in Analytics/Data Science

Tools

Tableau
Snowflake
Alteryx
Python

Job description

JPMorgan Chase & Co. is seeking a senior data science leader in Plano, TX to guide analytics strategy, build scalable data pipelines, and oversee complex modeling initiatives across multiple data sources.

You will mentor a team, implement standards, and ensure rigorous validation of insights for enterprise use. The role emphasizes backend data engineering, ML deployment, and real-time analytics to support risk, finance, and customer insights, with a focus on regulatory compliance and data

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