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Remote R Programming Jobs in Hamilton, OH (NOW HIRING)

dunnhumby

Senior Applied Data Scientist

Cincinnati, OH · On-site +1

May telecommute 100% of the time from their home office, consistent with dunnhumby's remote work ... Programming experience on any standard data mining and modelling packages such as Python and R; and

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Remote R Programming information

See Hamilton, OH salary details

$74.5K

$115.5K

$140.7K

How much do remote r programming jobs pay per year?

As of May 30, 2026, the average yearly pay for remote r programming in Hamilton, OH is $115,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $129,900.00 per year, depending on experience, location, and employer.

What is a Remote R Programming job?

A Remote R Programming job involves using the R programming language for data analysis, statistical modeling, and visualization while working from a remote location. Professionals in this role may work in fields such as data science, finance, healthcare, or research. Tasks often include data cleaning, building predictive models, and generating reports using R packages like ggplot2, dplyr, and tidymodels. Remote R programmers typically collaborate with teams through online communication tools and version control systems like Git. This role requires strong analytical skills and the ability to work independently while delivering data-driven insights.

What are the key skills and qualifications needed to thrive in the Remote R Programming position, and why are they important?

To thrive as a Remote R Programmer, you need strong proficiency in R programming, data analysis, and statistics, typically supported by a degree in a quantitative field such as computer science, statistics, or data science. Familiarity with version control systems like Git, data visualization libraries (e.g., ggplot2), and experience with cloud-based collaboration tools is highly valued. Excellent communication skills, self-motivation, and the ability to work independently are important soft skills for remote success. These competencies ensure that you can efficiently deliver high-quality analytical solutions and collaborate with distributed teams.

What are some typical projects or tasks a Remote R Programmer might work on?

Remote R Programmers often work on projects involving data cleaning, statistical modeling, and creating data visualizations for business or scientific insights. They may be responsible for developing automated data workflows, building predictive models, or generating reproducible reports using R Markdown or Shiny dashboards. Additionally, remote work usually requires frequent collaboration with data scientists, analysts, or cross-functional teams via virtual meetings and project management platforms. This role allows you to contribute to diverse industries, ranging from healthcare to finance, and offers opportunities to continuously expand your technical expertise.
More about Remote R Programming jobs
What job categories do people searching Remote R Programming jobs in Hamilton, OH look for? The top searched job categories for Remote R Programming jobs in Hamilton, OH are:
What cities near Hamilton, OH are hiring for Remote R Programming jobs? Cities near Hamilton, OH with the most Remote R Programming job openings:
Remote R Programming jobs near you
Infographic showing various Remote R Programming job openings in Hamilton, OH as of May 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 100% Remote job distribution, with an average salary of $115,500 per year, or $55.5 per hour.

Senior Applied Data Scientist

dunnhumby

Cincinnati, OH • On-site, Remote

Other

Posted 19 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: 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.

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