Data Scientist Lead

JobID: 210520973

Category: Predictive Science

JobSchedule: Full time

Posted Date: 2024-06-28T18:02:39+00:00

JobShift:

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Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.

As a Lead Data Scientist Engineer at JPMorgan Chase within the Employee Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities:

• Leading the development and delivery of data science solutions to empower our employees at the firm within Employee Platforms

• 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 data-driven approaches to assist the employee's workday experience while informing Employee Platforms of how they can better serve our population.

• Communicating analytical findings to senior leaders through data visualization and storytelling

• Ability to derive and deliver key insights and analytics on a broad scale

• Ability to understand 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

• Databricks ML Flow, Sagemaker Studio, Juptyr Labs

• Knowledge of a range of languages and tools (e.g., SQL, Python, Databricks Starburst, AWS Sagemaker) and data visualization solutions

• 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 preferred, but not required