Vice President - Data Scientist Lead (Individual Contributor)

izational objectives, driving innovation and measurable business impact.

Job Responsibilities:

• Own the full data science lifecycle, including data acquisition, preparation, modeling, validation, and deployment

• Analyze complex datasets to uncover trends, patterns, and actionable insights

• Design, develop, and implement machine learning models to solve business challenges

• Collaborate with stakeholders to translate business objectives into technical solutions

• Validate model performance and ensure scalability in production environments

• Communicate findings and recommendations through clear visualizations and reports

• Support data engineering efforts to maintain data quality and integrity

• Document processes, methodologies, and model outcomes for transparency and reproducibility

• Stay current with industry trends and emerging technologies in data science

• Present technical concepts and results to senior leadership and non-technical audiences

• Lead strategic analytics projects as an individual contributor

Required qualifications, capabilities, and skills:

• Five years of experience in data science or a related field

• Proven experience managing end-to-end data science projects

• Proficiency in Python and/or R for data analysis and modeling

• Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch

• Strong understanding of statistical analysis and data mining techniques

• Experience with data visualization tools such as Tableau, Power BI, or matplotlib

• Familiarity with cloud platforms (AWS, Azure, or GCP) for model deployment

• Knowledge of data engineering concepts and relational databases

• Excellent problem-solving and analytical skills

• Strong communication skills to present technical concepts to non-technical audiences

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field

Preferred qualifications, capabilities, and skills:

• Master's degree in Data Science, Computer Science, Statistics, or a related field

• Experience with big data technologies such as Spark or Hadoop

• Background in deploying models in production environments

• Experience working in Agile teams

• Knowledge of MLOps practices

• Industry certifications in data science or machine learning

• Experience presenting to senior leadership

Internal Application Eligibility Requirements

TENURE:

Must meet minimum employment tenure requirement. Specific roles require longer tenure in current position to be eligible to apply. Unless established for specific positions by the line of business, the standard tenure requirement is 12 months.

PERFORMANCE:

Meets satisfactory performance standards as defined by the firm

By submitting an application and/or joining the interview, you affirm to meet the Internal Mobility Eligibility Requirements as stated in the Applying for Internal Positions Firmwide Standard. You are expected to provide true and accurate information to the Company during the recruitment and application process. Knowingly giving false or misleading information shall be subjected to the imposition of appropriate corrective action, following the firm's HR Policies and Guidelines.

Inform your manager once scheduled for an interview. Include in your discussion if you have questions about eligibility or Line of Business specific guidelines.

Make sure your profile is updated in the new me@jpmc > Jobs. Attaching your updated resume is encouraged.

In partnership, Hiring Managers and Recruiters will review applications to determine which candidates best meet the required skills and experience specified in the job description. While not every application will result in an interview, applications will be acknowledged.

ABOUT US

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.

ABOUT THE TEAM

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.