Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Data Scientist Lead - Business Banking Lending - Vice President
Columbus, OH, United States
Actively hiring, first seen by us 5 days ago- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingFrame ambiguous business questions and define measurement approaches
Own analyses and reporting end to end, from data sourcing to stakeholder review
Define and maintain KPI logic and documentation for auditability
Translate findings into non-technical summaries and recommendations for senior stakeholders
Find ways to improve measurement, automation and analytical workflows, including AI-assisted approaches
From the employer’s posting
framing high-impact business questions, defining measurement approaches
Own the development and execution of analyses and reporting from end to end
Define and maintain KPI logic and documentation to support auditability and consistent measurement
Translate complex findings into clear, non-technical summaries and recommendations for senior stakeholders
Identify opportunities to improve measurement, automation, and analytical workflows (including AI-assisted approaches where appropriate)
Education & alternatives
Required Qualifications, Capabilities, and Skills - Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, or related discipline) and 5+ years of experience in advanced analytics roles. - Strong skills in SQL and modern analytics programming (e.g., Python/R) for data querying, transformation, analysis, and validation.
Posting record
Report an errorActively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 30, 20265 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 5
Early. Similar jobs usually come down between day 7 and day 55.
From 9,971 similar postings that came down. Coming down is not always a hire.
JPMorgan Chase is hiring
413 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is steady
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
Where the posting names them
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, or related discipline) and 5+ years of experience in advanced analytics roles. - Strong skills in SQL and modern analytics programming (e.g., Python/R) for data querying, transformation, analysis, and validation. - Proficiency in statistical analysis and product/customer analytics methods (e.g., hypothesis testing, predictive modeling, experimentation/measurement design).
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Bring your quantitative skills to help shape the future of small business lending. If you enjoy tackling ambiguous problems, building strong measurement frameworks, and using modern analytics and AI to create executive-ready insights, you’ll thrive in this role.
As a Data Scientist Lead - Business Banking Lending - Vice President, you’ll partner closely with business stakeholders to design and deliver analytics that senior leaders can act on; turning complex data into clear, confident decisions. You’ll partner closely with Lending Strategy and Product leaders to build defensible metrics, run deep-dive analyses, and deliver benchmarking and reporting that leadership can act on. This role will require you to be strategy-oriented and focused on performance insights across the lending lifecycle.
You will operate as a trusted analytics partner—framing high-impact business questions, defining measurement approaches, building and validating datasets, and translating complex findings into clear, actionable recommendations. You will establish repeatable KPI and reporting frameworks (with strong documentation and controls), deliver benchmarking and peer comparisons where relevant, and help build scalable analytical solutions that improve how we monitor performance and support our customers and bankers.
Your work will drive meaningful business impact by deepening our understanding of customer behavior, identifying growth and experience opportunities, and supporting the ongoing evolution of our lending products—while maintaining strong data quality and governance.
Job Responsibilities
- Build strong relationships with Product Managers and functional partners (Operation, Risk, Controls, Finance, Tech).
- Own the development and execution of analyses and reporting from end to end (problem framing → data sourcing → analysis/modeling → insights → stakeholder review).
- Translate complex findings into clear, non-technical summaries and recommendations for senior stakeholders.
- Think from a business standpoint and connect the “why” to the data, assumptions, and trade-offs.
- Define and maintain KPI logic and documentation to support auditability and consistent measurement.
- Identify opportunities to improve measurement, automation, and analytical workflows (including AI-assisted approaches where appropriate).
Required Qualifications, Capabilities, and Skills
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, or related discipline) and 5+ years of experience in advanced analytics roles.
- Strong skills in SQL and modern analytics programming (e.g., Python/R) for data querying, transformation, analysis, and validation.
- Proficiency in statistical analysis and product/customer analytics methods (e.g., hypothesis testing, predictive modeling, experimentation/measurement design).
- Ability to translate ambiguous business questions into structured analytical approaches and actionable recommendations, with clear, executive-ready storytelling.
- Effective working cross-functionally in a dynamic product environment, aligning stakeholders and driving decisions.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Columbus, OH, United States
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- Work authorization
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