Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,820 postings in the last year. Stated ranges, not salaries paid.
Wilmington, DE, United States
Availability unconfirmed, first seen by us 39 days agoCheck the employer’s page before spending time on an application. This is a saved copy of the posting.
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Own end-to-end analytics and optimization for multiple digital campaign strategies
Design, run, and interpret A/B and incrementality tests
Analyze customer behavior to find acquisition trends and drivers
Run profitability and optimization analyses to guide budget and targeting decisions
Turn large datasets into recommendations and presentations for senior leaders
Own end-to-end analytics for multiple digital marketing campaign strategies
Design, execute, and interpret A/B and incrementality tests
Conduct customer behavior analyses to identify key trends, opportunities, and drivers of acquisition performance
Perform profitability and optimization analyses to support data-driven budget allocation and targeting decisions
Synthesize large datasets into concise insights and clear recommendations for stakeholders and senior leadership
Required qualifications, capabilities and skills - Bachelor’s and Master’s degree in a quantitative discipline (such as data science, analytics, mathematics, statistics, physics, engineering, economics, or finance) - 3+ years of industry experience in business analytics roles (such as digital analytics, customer analytics, marketing analytics, sales analytics, business insights)
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,820 postings in the last year. Stated ranges, not salaries paid.
374 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Advanced SQL skills with experience querying large, complex datasets - Applied experience with modern analytics and data science tools such as Python, R, Hive, or Alteryx - Experience with visualization tools (such as Tableau or Power BI) to translate analysis into executive-ready insights
- 3+ years of industry experience in business analytics roles (such as digital analytics, customer analytics, marketing analytics, sales analytics, business insights) - Advanced SQL skills with experience querying large, complex datasets - Applied experience with modern analytics and data science tools such as Python, R, Hive, or Alteryx
- Applied experience with modern analytics and data science tools such as Python, R, Hive, or Alteryx - Experience with visualization tools (such as Tableau or Power BI) to translate analysis into executive-ready insights - Experience with web analytics platforms such as Google Analytics or Adobe Analytics
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Yes. We’ve followed one other Quant Analytics Senior Associate - Card Marketing job there since September 2026. It is still up.
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
You’re ready to turn complex customer and campaign data into clear, actionable insights that shape digital marketing strategy. You’ll work across cross-functional partners to measure performance, run testing, and identify optimization opportunities that help grow customer acquisition and strengthen business outcomes.
As a Quantitative Analytics Senior Associate at JPMorganChase within the Card Marketing team, you will own analytics for multiple digital campaign strategies and translate data into recommendations that influence senior leaders. You’ll combine rigorous measurement, experimentation, and storytelling to help drive smarter decisions and stronger results.
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Required qualifications, capabilities and skills
Preferred qualifications, capabilities and skills
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Wilmington, DE, United States
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No clear work-authorization passage found. Eligibility is unconfirmed.