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Remote Applied Computer Science Jobs in Cincinnati, OH

May telecommute 100% of the time from their home office, consistent with dunnhumby's remote work ... Bachelor's degree (or foreign educational equivalent) in Computer Science, Mathematics, Applied ...

May telecommute 100% of the time from their home office, consistent with dunnhumby's remote work ... Bachelor's degree (or foreign educational equivalent) in Computer Science, Mathematics, Applied ...

Data Science Consultant

Wyoming, OH ยท On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

Data Analyst (PhD)

Wyoming, OH ยท Remote

$40/hr

Applied Mathematics and/or Computer Science. Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule ...

Applied Mathematics and/or Computer Science.BenefitsThis is a full-time or part-time REMOTE positionYou'll be able to choose which projects you want to work onYou can work on your own ...

Math Teacher

Wyoming, OH ยท Remote

$40/hr

Applied Mathematics and/or Computer Science. Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule ...

Applied Mathematics and/or Computer Science. Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule ...

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Showing results 1-20

Remote Applied Computer Science information

See Cincinnati, OH salary details

$80.1K

$98.3K

$130K

How much do remote applied computer science jobs pay per year?

As of May 28, 2026, the average yearly pay for remote applied computer science in Cincinnati, OH is $98,346.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,400.00 and $110,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Applied Computer Science vs Remote Software Developer?

AspectRemote Applied Computer ScienceRemote Software Developer
Required CredentialsBachelor's in Computer Science or related field; certifications varyBachelor's in Computer Science or related field; certifications optional
Work EnvironmentResearch, data analysis, algorithm development, often in tech or academiaDesign, coding, testing, and maintaining software applications
Employer & Industry UsageTech companies, research institutions, academiaTech firms, startups, software development agencies
Common Search & ComparisonYesYes

Remote Applied Computer Science focuses on research, algorithms, and data analysis, often in academic or research settings. Remote Software Developers primarily design and build software applications. While both roles require a computer science background, their daily tasks and industry applications differ significantly.

Senior Applied Data Scientist

dunnhumby

Cincinnati, OH โ€ข On-site, Remote

Other

Posted 17 days ago


Job description

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First.

Job Title:ย Senior Applied Data Scientist

Job Location: 3825 Edwards Road, #600, Cincinnati, OH 45209 (May work remotely)

Job Duties:

WHY I DO MY JOB | Job purpose

To lead and execute projects to distil complex problems into compelling insights, using the best of dunnhumby science and making recommendations that resonate with clients and lead them to action. May telecommute 100% of the time from their home office, consistent with dunnhumby's remote work policy.

WHAT I DO | Key accountabilities

  • Build strong relationships with internal contacts & external clients to ensure full understanding of client challenges, growth strategy and agreed measures of success for the project.
  • Investigate and implement the most appropriate analytical technique for each project, role modelling the re-use & further development of global solutions or code written by others.
  • Deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery.
  • Identify opportunities to grow client engagement by proactively solving client's strategic questions, using a mix of products and advanced data science techniques that support executive decision making and calls to action.
  • Participate in client meetings as required to present methodology and solutions through effective story telling techniques.
  • Work closely with global products team to provide market feedback for enhancing an existing product offering or augmenting the catalogue with a market-based product that can become global offering.
  • Ensure smooth running of your data analytics projects and support junior team members with their projects.
  • Lead by example by following dunnhumby Quality Assurance processes, ways of working and coding standards.
  • Provide advice and support to colleagues to resolve challenges and support code reviews.

Job requirements:

  • Bachelor's degree (or foreign educational equivalent) in Computer Science, Mathematics, Applied Statistics, Engineering or related field.
  • In addition to the degree, must have at least 4 years of experience in each of the following:
  • Software development, utilizing methodologies and tools such as Agile (Scrum Master) and Code Merge, and programming in languages including PySpark, Python, Flask/Dash, C++, and HTML; and
  • Quality Assurance (QA) and Testing, including the development, execution, and maintenance of automated and manual testing frameworks.

Within this, must have at least 2 years of experience in each of the following:

  • Handling large data volumes with modern data processing tools, e.g. by using Hadoop, Spark, SQL, and Python;
  • Data Interpretation and Insight Analysis; performing data interpretation, insight generation, and analytical analysis to support business and technical decision-making;
  • Programming experience on any standard data mining and modelling packages such as Python and R; and
  • Applying advanced statistical models and machine learning algorithms to develop and implement solutions to complex analytical and business problems.