Data Scientist Lead-Vice President

Socket.dev; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorganChase is seeking a Data Science Lead in Wealth Management Decision Sciences to lead a team delivering insights and machine learning solutions that improve client outcomes, product performance, and operational efficiency. You will partner with product, strategy, and operations to frame problems, define success measures, and deliver clear recommendations to senior stakeholders.

This hands-on managerial role requires blending descriptive analytics with advanced modeling, building scalable

Qualifications

• BS degree in a STEM field with 5+ years analytics experience.
• 2 years of people management experience, including coaching and team development.
• Led data science teams to deliver analytics and ML solutions that improve business performance.

Responsibilities

• Collaborate with product, strategy, and operations to support wealth management decisions.
• Apply statistics and AI approaches to solve business problems across product, financial, client engagement, and operational outcomes.
• Lead end-to-end analytics delivery from framing and measurement design to senior stakeholders.
• Develop analytics approaches for ML and trigger capabilities to improve operations in a scalable way.
• Analyze client usage across risk segments to understand portfolio allocations.
• Operationalize experimentation frameworks to quantify impact and inform prioritization.
• Assess client experience and AI-enabled discovery to identify measurable value creation.
• Identify AI and agentic use cases to improve productivity and decision quality.

Skills

Analytics leadership

Data science

Machine learning

Statistical methods

SQL PySpark

Communication

Education

BS Degree in STEM

Tools

SQL

PySpark

Jupyter

Job description

Data can change the way clients experience wealth management—when it is translated into decisions people can act on. In this role, you will lead a team that connects product, strategy, and operations to measurable outcomes through analytics, machine learning, and artificial intelligence. You will tackle high-impact questions, build scalable capabilities, and help shape how the business prioritizes what matters most. If you are energized by ambiguity and motivated by real-world impact, you will thrive here.

As aData Science LeadinWealth Management Decision Sciences, you will lead a team that delivers insights and machine learning solutions that improve client outcomes, product performance, and operational efficiency. You will partner closely with product, strategy, and operations teams to frame problems, define success measures, and deliver clear recommendations to senior stakeholders. You will help the team apply the right level of analytical rigor—ranging from descriptive analytics and visualization to advanced modeling—based on the business need. You will also identify and develop high-value opportunities to leverage artificial intelligence and agentic tools to elevate analytical productivity and decision quality. This is a vital hands‑on role and manager role so we’re looking for exceptionally creative, ambitious, "data curious" thinkers who can help extract true business value from data.

Job responsibilities

• Collaborate with product, strategy, and operations teams to provide analytical support for wealth management initiatives and decision‑making
• Apply statistical methods, data analysis, and artificial intelligence‑assisted approaches to solve business problems across product, financial, client engagement, and operational outcomes
• Lead end‑to‑end analytics delivery, from problem framing and measurement design through insight generation and communication to senior stakeholders
• Develop and refine analytics approaches for machine learning and trigger capabilities that improve the operations process in a scalable, sustainable way
• Analyze client usage across risk segments and products to understand relationships between risk appetite and portfolio allocations
• Operationalize experimentation frameworks to evaluate enhancements, quantify impact, and inform prioritization
• Assess client experience and journey outcomes, including artificial intelligence‑enabled discovery, to identify improvement opportunities and measurable value creation
• Identify and develop high‑value artificial intelligence and agentic use cases that improve analytical productivity, decision quality, portfolio allocations, and customer outcomes

Required qualifications, capabilities, and skills

• BS Degree in an applicable STEM field and 5+ years of industry experience producing advanced analytics work.
• 2 yearsof people management experience, including performance management, coaching, and team development
• Demonstrated experience leading teams of data scientists to deliver analytics and machine learning solutions that improve business performance
• Ability to right‑size analytical approaches to problem complexity, from descriptive analytics and visualization through machine learning and artificial intelligence‑based decisioning
• Strong business acumen and critical thinking, with the ability to translate ambiguous questions into well‑defined analytical problem statements and success metrics
• Hands‑on experience applying statistical and quantitative techniques (for example: decision trees, linear regression, logistic regression, ridge regression, multicollinearity analysis, string similarity, behavioral analytics, and look‑alike modeling)
• Effectively coach a team on both the computational aspects of big data as well as working with statistical models (e.g., complex SQL scripts, PySpark libraries or Jupyter Notebooks) while staying focused on solving problems, not just boosting model performance curves
• Know when the “juice is worth the squeeze” – you stay abreast of new applications in machine learning, deep learning, and AI but can recognize and apply the right analytic approach when the challenge you are solving is less complex
• Strong communication skills, with experience synthesizing insights and influencing stakeholders through clear recommendations and executive‑ready storytelling

Preferred qualifications, capabilities, and skills

• Experience supporting wealth management, investing, or self‑directed investing businesses
• Demonstrated growth mindset through ongoing learning (for example: industry podcasts, staying current on new methods, or participation in data science competitions and conferences such as Knowledge Discovery and Data Mining)

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.

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most‑used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.