JPMorgan Data Scientist Lead - Anomaly Detection 

United States, Ohio, Columbus 

214956722

Job Responsibilities:

• Leading the development and delivery of data science solutions to unlock the power of our firmwide data
• Working with peers and stakeholders to identify use cases and opportunities that will create value
• Designing and delivering solutions that are flexible and scalable using the firm’s approved tools
• Developing cutting edge solutions for critical functions such as Anomaly Detection and LLM on big data.
• Communicating analytical findings to senior leaders through data visualization and storytelling
• Deriving and delivering key insights and analytics on a broad scale
• Understanding multiple data sources with both structured and unstructured files and how to classify and aggregate and document for repeatable usage

Required qualifications, capabilities, and skills:

• 5+ years’ experience as a Data Scientist or in an adjacent quantitative role
• 5+ years' experience in a corporate environment
• Databricks ML Flow, Sagemaker Studio, Juptyr Labs
• Expert knowledge of using Python for implementing feature engineering, model training and evaluation.
• Knowledge of a range of languages and tools (e.g., SQL, Python, Databricks, AWS Sagemaker) and data visualization solutions
• Proven expertise in handling complex high dimensional Anomaly Detection models
• Experience in LLM implementations, ML solutions such as insights, pattern detection, generative AI, forecasting, and ML algorithms

Preferred qualifications, capabilities, and skills

• Experience working at code level
• Masters/PhD in a quantitative or related discipline
• Experience in the financial domain or organization