Data Scientist Lead
OH, United States
JPMorgan Chase & Co.
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
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Banking Databricks Data pipelines Data visualization Generative AI LLMs Machine Learning PhD Pipelines Python SageMaker SQL
Perks/benefits: Competitive pay Flex hours Health care Wellness
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