Data Scientist Lead - Anomaly Detection
JPMorgan Chase & Co.About the role
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 Corporate Data Services 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 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
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation awarded in recognition of 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
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