JPMorgan Lead Data Scientist - Finance Technology 

United States, New Jersey, Jersey City 

215937897

Job Responsibilities:

• Build and train production-grade ML models on large-scale datasets to solve business use cases.
• Utilize large-scale data processing frameworks to extract value from structured and unstructured data.
• Apply Deep Learning models like NLP, LLM, and Gen AI for summarization, forecasting, and anomaly detection.
• Conduct data modeling experiments, evaluate against baselines, and extract key statistical insights.
• Create data models using best practices to ensure high data quality and reduced redundancy.
• Stay current on industry trends and adopt the latest methodologies into existing implementations.
• Present and market proposed solutions to senior business and technology colleagues.
• Collaborate closely with business users to identify and execute machine learning opportunities.
• Work with the team and other technology partners on ML Ops aspects.
• Manage a global team of data scientists and data engineers.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s Degree or equivalent experience in Computer Science or Data Science.
• 12+ years of experience as a data scientist.
• Experience with machine learning techniques and advanced analytics (e.g., regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization, NLP).
• Experience with LLM and Gen AI.
• Experience with Agentic workflows.
• Proficiency in ML languages such as Python, SQL, Scala.
• Experience with statistical techniques - i.e., data mining, data transformations, text mining, data visualization.

Preferred Qualifications, Capabilities, and Skills:

• Familiarity with Financial Services.
• Experience building ML models in a cloud environment.
• Experience with Big Data Platforms such as Hadoop.
• Outstanding written/verbal communication and presentation skills.
• Comfort with ambiguity and proven ability to structure problems.
• Team-oriented collaborator.