Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Applied Data Science Manager
Bentonville; Cincinnati
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listedSimilar roles state $154K–$225K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingAs an Applied Data Science Manager, you'll lead a team of applied data scientists, turning complex problems into compelling insights using the best of dunnhumby science.
You'll play an important role in connecting client strategy with advanced data science, ensuring your team delivers high-quality, timely work while identifying new opportunities to create value through our products, analytical techniques and science.
Shape annual client workplans and allocate people and resources to them
Lead the team in turning client challenges into insights for executive decisions
Champion reuse of dunnhumby science, modules and code
Hire, mentor, motivate and retain the applied data science team
Build relationships with internal stakeholders and clients on their goals and success measures
From the employer’s posting
As an Applied Data Science Manager, you'll lead a team of applied data scientists, turning complex problems into compelling insights using the best of dunnhumby science. You'll combine technical expertise, client understanding and people leadership to develop recommendations that resonate with clients and lead them to action.
You'll play an important role in connecting client strategy with advanced data science, ensuring your team delivers high-quality, timely work while identifying new opportunities to create value through our products, analytical techniques and science.
Partner with Client Leads to shape annual client workplans around business needs and strategy
Lead your team in translating complex client challenges into compelling insights and recommendations
Champion the reuse of dunnhumby science, modules and code
Hire, mentor, motivate and retain a strong team of applied data scientists
Build strong relationships with internal stakeholders and clients
About Dunnhumby
dunnhumby is the global leader in Customer Data Science, helping the world's most ambitious retailers and brands put the customer at the heart of every decision.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 5, 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 1
Early. Similar jobs usually come down between day 7 and day 54.
At Dunnhumby, jobs usually come down by about day 17.
From 8,046 similar postings that came down, and 15 of Dunnhumby’s. Coming down is not always a hire.
Dunnhumby is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down quickly
- 33% 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
- SQL
- Hadoop
- Spark
Where the posting names them
- Experience applying advanced statistical models and machine learning algorithms to solve complex problems, alongside a practical approach to using data to create tangible customer impact. - Experience handling large data volumes with modern processing tools such as Hadoop, Spark, SQL or Python. - Strong data analysis, modelling and project management skills, with the ability to frame problems, test hypotheses and turn findings into clear recommendations.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Dunnhumby posted this job before?
Yes. We’ve followed 4 other Applied Data Science Manager jobs there since July 2026. 4 came down, usually after about 8 days.
If this one keeps the same pace, it may come down around November 12.
Large employers often post one title for several teams, so these can be separate openings.
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% 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 Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
About dunnhumby
dunnhumby is the global leader in Customer Data Science, helping the world's most ambitious retailers and brands put the customer at the heart of every decision. With nearly 3,000 experts across Europe, Asia, Africa and the Americas, we partner with iconic businesses like Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro to turn data into growth, innovation and measurable value for their customers.
Applied Data Science
Our Applied Data Science team turns dunnhumby’s analytical capability into real commercial impact for our clients. Working directly with retailers and brands, we design and deliver the models, algorithms and insights that answer the hardest questions in retail — from personalisation and basket analysis to pricing, promotions and customer loyalty. Every insight we produce is grounded in real customer data and built to make a measurable difference.
About the Role
As an Applied Data Science Manager, you'll lead a team of applied data scientists, turning complex problems into compelling insights using the best of dunnhumby science. You'll combine technical expertise, client understanding and people leadership to develop recommendations that resonate with clients and lead them to action.
You'll play an important role in connecting client strategy with advanced data science, ensuring your team delivers high-quality, timely work while identifying new opportunities to create value through our products, analytical techniques and science.
What You'll Be Doing
- You'll lead both the people and the work, creating an environment where applied data science delivers clear commercial impact.
- Partner with Client Leads to shape annual client workplans around business needs and strategy, while allocating people and resources to deliver measurable, timely results.
- Lead your team in translating complex client challenges into compelling insights and recommendations, using advanced data science techniques to support executive decision-making and action.
- Build strong relationships with internal stakeholders and clients, ensuring the team clearly understands client challenges, growth strategies and agreed measures of success.
- Champion the reuse of dunnhumby science, modules and code, and guide the team in deploying data science algorithms and market products on the appropriate technology stack.
- Hire, mentor, motivate and retain a strong team of applied data scientists, while maintaining high standards for quality assurance, ways of working and coding.
What We're Looking For
- You'll bring a combination of practical data science experience, strong leadership and the ability to connect sophisticated analysis with real customer and commercial outcomes.
- Experience applying advanced statistical models and machine learning algorithms to solve complex problems, alongside a practical approach to using data to create tangible customer impact.
- Experience handling large data volumes with modern processing tools such as Hadoop, Spark, SQL or Python.
- Strong data analysis, modelling and project management skills, with the ability to frame problems, test hypotheses and turn findings into clear recommendations.
- Strong client and stakeholder management skills, including the ability to present analytical methodologies, insights and solutions through effective storytelling.
- Experience leading and developing people, with an appreciation for product development, quality assurance and creating reusable, scalable data science solutions.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bentonville; Cincinnati
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.