Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,757 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist
Wilmington, Delaware, United States of America
Open 5 months, first seen by us 173 days ago- Pay
- Pay not listedSimilar roles state $118K–$194K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingPrepare and clean data for analysis and modeling
Build models and create plots and reports for business clients
Identify business problems worth solving and estimate their value
Work with data engineering and software teams to query data and deploy models
Present methods and results to clients in plain language
From the employer’s posting
the ability to prepare data for analysis, build models, and create descriptive plots and reports
build models, and create descriptive plots and reports
identify opportunities that worth resolving to bring in a great value
collaborate with our data engineering and software development teams to query data and deploy models
effectively communicate their methods and results to clients in the business
Education & alternatives
Required Skills & Education - PhD in Chemical Engineering or Material Science; or MA with +5 industrial experience - Coding skills in R or Python including data preparation, regression, and plotting
Posting record
Report an errorOpen 5 monthsWe first saw this posting 173 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 19, 2026173 days ago
- Recorded sightings
- 323
- Last seen by us
- Nov 8, 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 173
Up longer than most. Similar jobs usually come down between day 7 and day 57.
Well past Qnity’s usual: its jobs come down by about day 35.
From 10,600 similar postings that came down, and 9 of Qnity’s. Coming down is not always a hire.
Qnity is hiring
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
- 8% 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
- XGBoost
Where the posting names them
- Product testing in field applications A strong candidate will have expertise in data science practices such as data cleaning, regression, machine learning, and cross-validation. The applicant should have fluent coding skills in R or Python with the ability to prepare data for analysis, build models, and create descriptive plots and reports. Beyond these technical skills, the job requires an organized worker who can plan a data analysis activity as a series of logical steps, effectively communicate their methods and results to clients in the business, identify opportunities that worth resolving to bring in a great value, and collaborate with our data engineering and software development teams to query data and deploy models.
- PhD in Chemical Engineering or Material Science; or MA with +5 industrial experience - Coding skills in R or Python including data preparation, regression, and plotting - Some formal education in statistics, including regression and hypothesis testing
- Expertise in machine learning techniques like random forest, xgboost, lasso, cross-validation, and hyperparameter tuning - Basic competency with SQL database queries - At least five years of experience applying statistics and data science to solve business, engineering, or scientific problems
- Some formal education in statistics, including regression and hypothesis testing - Expertise in machine learning techniques like random forest, xgboost, lasso, cross-validation, and hyperparameter tuning - Basic competency with SQL database queries
Your next step
Complete your application on qnity.wd503.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Phenom
- Phenom runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
Has Qnity posted this job before?
Yes. We’ve followed 3 other Senior Data Scientist jobs there since June 2026. 2 came down, usually after about 75 days. One is still up.
Large employers often post one title for several teams, so these can be separate openings.
About Qnity
- People
- About 10,000 in 2025.Annual report (SEC Form 10-K)
- Company
- Listed as Q.
Demand for Data Scientist roles
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.
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
Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.
At Qnity, we’re more than a global leader in materials and solutions for advanced electronics and high-tech industries – we’re a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.
Qnity Electronics is accepting applications for a full-time position as a Senior Data Scientist. This position will be at Qnity’s corporate headquarters in Wilmington, DE. For experienced data science candidates, this is an exciting opportunity to join a growing team that plays a vital and dynamic role in the company.
Qnity is a market leader in specialty materials for electronic devices and semiconductor fabrication. In this role, the Data Scientist will collaborate with clients within the company engaged in a variety of research & development, manufacturing, and business activities.
Statistics and data science are integral to our business and there are exciting opportunities for technical contributions in a variety of areas.
- New product development
- Continuous improvement in manufacturing
- Sales growth and forecasting
- Supply chain optimization
- Text analytics for competitive analysis
- Product testing in field applications
A strong candidate will have expertise in data science practices such as data cleaning, regression, machine learning, and cross-validation. The applicant should have fluent coding skills in R or Python with the ability to prepare data for analysis, build models, and create descriptive plots and reports.
Beyond these technical skills, the job requires an organized worker who can plan a data analysis activity as a series of logical steps, effectively communicate their methods and results to clients in the business, identify opportunities that worth resolving to bring in a great value, and collaborate with our data engineering and software development teams to query data and deploy models.
Required Skills & Education
- PhD in Chemical Engineering or Material Science; or MA with +5 industrial experience
- Coding skills in R or Python including data preparation, regression, and plotting
- Some formal education in statistics, including regression and hypothesis testing
- Expertise in machine learning techniques like random forest, xgboost, lasso, cross-validation, and hyperparameter tuning
- Basic competency with SQL database queries
- At least five years of experience applying statistics and data science to solve business, engineering, or scientific problems
- Independent problem identification and business value estimation
- Self-learning with the intellectual curiosity to keep abreast of advances in the field, grow data science expertise, and refine grasp of internal business operations over time
- Effective interpersonal skills for communicating technical concepts to a layperson, collaborating with team members, and confidence presenting data analysis results to internal clients.
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Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.
Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.
We use Artificial Intelligence (AI) to enhance our recruitment process.
Source details
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- Pay
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- Location & working pattern
Wilmington, Delaware, United States of America
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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