Senior Data Scientist — End-to-End ML & AI Solutions

JPMorgan Chase; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorganChase is seeking a Data Scientist Associate Senior within the Consumer & Community Banking Data and Analytics organization in Plano, TX. You will own end-to-end modeling solutions, framing ambiguous problems, building and validating models, and driving them into production to deliver measurable business impact.

You will lead high-visibility initiatives, mentor teammates, and collaborate with business and technology partners to ensure feasibility, scalability, and adoption of analytic

Qualifications

• Formal training or certification on data science concepts and 3+ years applied experience.
• Undergraduate degree in a quantitative discipline or equivalent practical experience.
• Strong programming skills in Python, including the modern data science and machine learning ecosystem.
• Deep machine learning expertise across the full model lifecycle—feature engineering, training, validation, deployment, and monitoring.
• Strong statistical and mathematical foundation, with the ability to select and apply the right technique to novel and ambiguous problems.
• Applied AI engineering experience, including building large language model-based and/or agentic solutions and prompt engineering.
• Proficiency with SQL and data querying at scale.
• Demonstrated ownership mindset and ability to operate independently in ambiguous, fast-moving problem spaces.
• Strong written, verbal, and presentation skills, with experience communicating effectively with both business and technology audiences, including senior leadership.
• Ability to guide, mentor, and influence teammates and cross-functional partners.

Responsibilities

• Own the team's highest-priority modeling problems end to end, framing ambiguous questions and delivering rigorous solutions on tight timelines.
• Design, build, validate, and deploy advanced models spanning customer segmentation, digital marketing, and AI-enabled and agentic alert systems.
• Translate business objectives into well-scoped modeling problems with clear success criteria and measurable outcomes.
• Apply machine learning, statistical, and mathematical methods to develop novel solutions—including unsupervised methods such as PCA and k-means, supervised methods such as regression, tree-based models, and gradient-boosted algorithms, as well as causal inference, forecasting, and simulations.
• Build applied AI and agentic solutions, including large language model-based systems, prompt engineering, and developer and AI assistants.
• Serve as a technical lead on complex workstreams, helping direct and prioritize team efforts and unblocking others.
• Communicate results, insights, and recommendations clearly to business stakeholders, technology partners, and senior leadership.
• Partner with data science, engineering, product, and design teams to ensure solutions are feasible, scalable, and production-ready.
• Mentor and guide teammates on modeling approaches, code quality, and analytical rigor.
• Manage multiple engagements by prioritizing work, tracking dependencies, and escalating risks and tradeoffs proactively.

Skills

Python

SQL

Machine Learning

Statistical Modeling

Data Visualization

Leadership

Communication

Big Data

Education

Undergraduate degree in a quantitative discipline

Master's or PhD preferred

Tools

Snowflake

Databricks

Job description

JPMorganChase is seeking a Data Scientist Associate Senior within the Consumer & Community Banking Data and Analytics organization in Plano, TX. You will own end-to-end modeling solutions, framing ambiguous problems, building and validating models, and driving them into production to deliver measurable business impact.

You will lead high-visibility initiatives, mentor teammates, and collaborate with business and technology partners to ensure feasibility, scalability, and adoption of analytic