Data Scientist Director

Are you ready to lead the charge in data strategy and analytics at JPMorgan Chase? Join our Chief Data & Analytics Office (CDAO) and be at the forefront of leveraging data to drive decision-making and innovation. As a Data Scientist Director, you'll have the opportunity to work with cutting-edge technologies and collaborate with a team of skilled data scientists. We offer a dynamic environment where your expertise will contribute to the firm's commercial goals and enhance risk management, providing you with unparalleled career growth opportunities.

As a Data Scientist Director at JP Morgan Chase within the Chief Data & Analytics Office (CDAO) team, you will develop insights and tracking mechanisms to support the execution of our Firmwide Data Strategy. You will work across various systems and functions to identify necessary data, design analyses, and synthesize insights to inform senior leadership. Your role involves collaborating with platform partners to design observability and build instrumentation to fill data gaps. You will be part of a team that promotes decision-making through insight, applying statistical rigor and advanced data science methods.

Job Responsibilities:

• Develop a thorough understanding of complex business problems and processes related to our data strategy.
• Collaborate with business partners to understand their systems and processes.
• Lead tasks throughout the model development process, including data wrangling, analysis, model training, testing, and selection.
• Generate structured insights from data analysis and modeling exercises about critical strategic initiatives.
• Provide mentorship and oversight for junior data scientists to foster a collaborative working culture.
• Partner with machine learning engineers to deploy machine learning solutions.
• Own key model maintenance tasks and lead remediation actions as needed.
• Stay informed about the latest trends in AI/ML/LLM/GenAI research and operate with a continuous-improvement mindset.

Required Qualifications, Capabilities, and Skills:

• Advanced degree (MS, PhD) in a quantitative field or equivalent experience.
• 8+ years of relevant experience in data analysis and AI/ML domain.
• Expertise in ML projects, both supervised and unsupervised.
• Strong programming skills with Python, R, or equivalent languages.
• Proficient in working with large datasets and handling complex data issues.
• Experience with analytical toolkits such as SQL, Spark, Scikit-Learn, XGBoost, graph analytics, and neural nets.
• Excellent solution ideation, problem-solving, communication, and teamwork skills.

Preferred Qualifications, Capabilities, and Skills:

• Experience managing a team of data scientists.
• Familiarity with machine learning engineering and implementing models within AWS or other cloud platforms.
• Familiarity with the financial services industry.
• Experience building or managing datasets for telemetry and observability of analytic and data systems.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.