Data Scientist, Sr. Associate

JPMorganChase; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

On-site health center

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

Chase is seeking an experienced Data Scientist for the Home Lending Data & Analytics team. You will drive campaign performance through measurement, data-driven insights, and optimization, partnering with Marketing to inform decisions and scale insights using GenAI/LLM tooling thoughtfully.

You will work with data across campaigns, funnel, and leads to tell the full story, including what didn’t work, and translate findings into actionable recommendations for stakeholders and production teams

Qualifications

• Strong SQL skills, including merging data from multiple sources.
• Experience with Python (preferred) or another analytics tool/language (e.g., SAS, R, Alteryx). Strong Microsoft Excel skills.
• 3+ years of experience in business analysis, marketing analytics, or a similar role supporting campaign measurement and optimization.

Responsibilities

• Identify trends, patterns, and actionable insights across campaign performance, funnel conversion, lead quality, and outreach effectiveness.
• Plan and analyze A/B tests and other experiments; quantify incremental impact and translate results into clear recommendations.
• Collaborate with cross-functional teams to implement predictive analytics outputs into targeted marketing campaigns; interpret model inputs and limitations.

Skills

SQL

Python

Excel

Communication

Problem solving

Tools

SAS

R

Alteryx

Job description

Job Description

This is an experienced Data Scientist position on the Home Lending Data & Analytics team supporting Originations, partnering primarily with Marketing to drive campaign performance through rigorous measurement, data-driven insights, and continuous optimization. You will combine strategy, business analysis, and data skills to identify meaningful trends, uncover opportunities, and tell the full story behind performance (including what didn't work), enabling objective decision-making. You will also leverage modern analytics techniques, including responsible use of GenAI/LLM tools, to accelerate analysis, expand exploration breadth, and improve the efficiency of insight generation while staying accountable for decisions and conclusions.

Key Responsibilities

• Proactively identify and communicate meaningful trends, patterns, and actionable insights to stakeholders across campaign performance, funnel conversion, lead quality, and outreach effectiveness.
• Support marketing targeting and lift measurement, including planning and analyzing A/B tests and other experiments; quantify incremental impact and translate results into clear recommendations.
• Partner with cross-functional teams to implement predictive analytics outputs (built by a separate modeling team) into targeted marketing campaigns; understand model intent, inputs, and limitations well enough to apply appropriately and interpret results.
• Use data discovery to "turn over more stones" and uncover drivers of performance, leveraging GenAI/LLM-assisted workflows to speed hypothesis generation, summarization, and exploratory analysis while validating findings with data and sound measurement practices.
• Source and merge data from platforms (e.g., campaign data, digital funnel, lead/outreach datasets) to build a cohesive narrative of what happened and what to do next.
• Collaborate with sales strategy analytics and other partners to pilot programs, measure effectiveness, and support transition into production processes when pilots are successful.
• Create clear, stakeholder-ready deliverables (reads, decks, dashboards/outputs) that are transparent about assumptions, methodology, and trade-offs; avoid cherry-picking by presenting balanced insights and limitations.

Qualifications

• Strong ability to analyze problems, dig deep into data, understand "why," design solutions, and communicate confidently (verbal and written) with relevant stakeholders to gain buy-in.
• Strong SQL skills, including merging data from multiple sources.
• Experience with Python (preferred) or another analytics tool/language (e.g., SAS, R, Alteryx). Strong Microsoft Excel skills.
• 3+ years of experience in business analysis, marketing analytics, or a similar role supporting campaign measurement and optimization.
• Practical familiarity with how predictive models are used in marketing (you do not need to build models, but should be able to work with model outputs, assumptions, and limitations).
• Comfort using GenAI/LLM tools to improve analytical efficiency (e.g., accelerating exploration and drafting insights), paired with strong judgment, validation discipline, and ownership of final conclusions.
• Mortgage banking experience and/or experience with Marketing/CRM data is a plus.

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.

• base salary determined based on the role, experience, skill set and location.
• commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
• benefits and programs to meet employee needs, based on eligibility.
• 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.

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.

Equal Opportunity Employer/Disability/Veterans

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.