WFP Lead Data Scientist - Vice President

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Job Description

The Workforce Planning (WFP) organization is part of the Consumer and Community (CCB) Operations division. The WFP Data Science organization delivers quantitatively driven solutions to support core WFP functions such as demand forecasting, capacity planning, resource scheduling, and business analysis & support. It supports Chase’s call centers, back office, and approximately 5,200 retail branches.

As a Data Scientist Lead – WFP Machine Learning Scientist, you will engage in complex, data‑intensive projects that have significant business impact. You will assess unstructured problems, develop practical problem‑solving strategies, analyze topics, and present solution proposals with recommendations and next‑step plans to management for prioritization, timing, and delivery. The AI/ML team builds next‑generation data science solutions aimed at real‑time inference and decision‑making.

Job Responsibilities

• Design and develop machine learning, artificial intelligence, and statistical models.
• Participate in the full model development lifecycle, from problem framing to documentation and independent model review.
• Lead AI/ML projects while mentoring and coaching junior team members.
• Collaborate with stakeholders to understand business requirements and define solution objectives.
• Identify and select appropriate methods to solve problems while staying updated on the latest AI/ML research.
• Ensure robustness of data science solutions.
• Develop and communicate recommendations and data science solutions in an easy‑to‑understand manner, leveraging data to tell a story.
• Lead and persuade others while positively influencing outcomes, framing business problems into technical solutions that are feasible.

Required Qualifications, Capabilities, and Skills

• Master’s degree with 5+ years of experience or PhD with 3+ years, operating as a data science professional in a quantitative field such as statistics, analytics, data science, engineering, operations research, economics, mathematics, machine learning, artificial intelligence, and related disciplines.
• 2+ years of experience leading AI/ML projects with multiple team members.
• Hands‑on experience developing statistical models, machine learning models, and/or artificial intelligence models.
• Deep understanding of the mathematics and theory behind AI/ML algorithms.
• Proficiency in data science programming languages such as Python, R or Scala.
• Experience with big‑data technologies such as Hadoop, Spark, SparkML, and familiarity with SQL, Hive, and similar data table operations.
• Demonstrated relationship‑building skills with a superior ability to make things happen through positive influence.

Preferred Qualifications, Capabilities, and Skills

• Advanced expertise with time series and operations research techniques.
• Natural language processing (NLP), natural language generation (NLG), neural nets, or other machine‑learning/AI skills.
• Prior experience with public cloud technologies such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP).
• Previous experience leading highly complex cross‑functional technical projects with multiple stakeholders.

This position is full‑time in office Monday‑Friday. It is not hybrid nor remote.

About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits, and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in cash or forfeitable equity. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These include 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. 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.

Equal Opportunity Employer/Disability/Veterans

About The Team

The 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.

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Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Other