Intelligent Systems, Data and Analytics (ISDA) in Corporate Technology (CT) is a centralized global team responsible for leveraging Artificial Intelligence and Machine Learning to maximize the business value of the data consumed and produced by CT and  our Corporate Function Partners. The ISDA team’s mission is to utilize large-scale computation, true large-scale data set, and apply machine-learning to our most critical products. 

As an Data Scientist Director in the ISDA team   you will be working on exciting end-end machine learning problems and solutions. You will be solving large scale Corporate Technology use cases, engineer scalable features and is comfortable doing ML Ops work to build brand new systems.

Job Responsibilities:

• Lead complex projects that require cross-organizational alignment and collaboration
• Analyze complex datasets used to make decisions regarding real-world applications
• Investigate the applicability of new approaches to business problems and products by combining theory and experimentation
• Write software code that is built and deployed in production systems
• Anticipate and consider risks when building machine learning solutions and prediction/classification systems
• Communicate complex issues clearly and credibly to consult on and approve team decisions while driving broader organizational actions.
• Work transparently cross-functionally and influence your peers to do the same.

Required qualifications:

• Ph.D. in Computer Science or Machine Learning related degree  and about 10 years of work experience
• Expert in one or more of the following: machine learning, generative AI, recommendation systems, network analysis, Natural language processing, Reinforcement learning, MLOps
• Comfortable conducting design and code reviews
• Experience with leadership of experienced scientists as well as a record of developing junior members from academia/industry to a career track in a business environment

Preferred qualifications:

• A strong technical advocate with a background in Java or Scala, and Python.
• Comfortable working in a cloud environment like AWS/GCP or Azure
• Passionate about working with large unstructured and structured datasets

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