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Remote Staff Data Scientist Jobs in Springfield, OH

Software Engineer, Senior

Dayton, OH ยท On-site +1

$119K - $157K/yr

Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar. * Background in signal processing, image processing, or remote sensing data workflows. * Experience with ...

Software Engineer, Senior

Dayton, OH ยท On-site +1

$119K - $157K/yr

Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar. * Background in signal processing, image processing, or remote sensing data workflows. * Experience with ...

Showing results 21-40

Remote Staff Data Scientist information

See Springfield, OH salary details

$41.4K

$148.6K

$219.3K

How much do remote staff data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote staff data scientist in Springfield, OH is $148,639.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,200.00 and $153,100.00 per year, depending on experience, location, and employer.

What is a remote staff data scientist?

A Remote Staff Data Scientist is a professional who analyzes complex data to extract insights and support decision-making, all while working remotely. They use machine learning, statistical analysis, and data visualization techniques to solve business problems. This role typically requires strong programming skills in languages like Python or R, experience with data manipulation tools, and knowledge of cloud platforms. Remote staff data scientists collaborate with cross-functional teams through virtual communication tools to develop data-driven solutions. Working remotely provides flexibility but also requires self-discipline and effective communication skills.

What skills and qualifications are needed to thrive as a remote staff data scientist?

To thrive as a Remote Staff Data Scientist, you need strong analytical skills, proficiency in statistical modeling and machine learning, and a solid background in computer science or related quantitative fields. Familiarity with tools like Python, R, SQL, data visualization libraries, and cloud platforms, as well as relevant certifications, is highly valued. Exceptional communication, self-motivation, and the ability to collaborate effectively in virtual teams are important soft skills for this role. These skills ensure accurate data-driven insights, seamless teamwork, and productive remote work environments for organizational success.

What are common challenges faced by remote staff data scientists, and how can they be addressed?

Remote Staff Data Scientists may encounter challenges such as collaborating across different time zones, maintaining clear communication with team members, and accessing secure data remotely. To address these issues, many organizations use robust project management tools, regularly scheduled virtual meetings, and strong data security protocols. Building trust and proactively sharing progress through frequent updates can also help maintain alignment with your team. Adapting to remote work requires discipline and strong digital communication skills, but it also allows for greater flexibility and work-life balance. Successful data scientists leverage these practices to stay productive and connected while working remotely.

What are popular job titles related to Remote Staff Data Scientist jobs in Springfield, OH?

For Remote Staff Data Scientist jobs in Springfield, OH, the most frequently searched job titles are:

What job categories do people searching Remote Staff Data Scientist jobs in Springfield, OH look for?

The top searched job categories for Remote Staff Data Scientist jobs in Springfield, OH are:

Infographic showing various Remote Staff Data Scientist job openings in Springfield, OH as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $148,639 per year, or $71.5 per hour.

Software Engineer, Senior

GRVTY

Dayton, OH โ€ข On-site, Remote

$119K - $157K/yr

Full-time

Re-posted 15 days ago


Job description

What Impact You'll Have

GRVTY is looking for a Senior Software Engineer to join a small, technically focused team supporting national security missions at a customer site in Dayton, Ohio. This is hands-on engineering work - you will be designing and building Python-based software tools that support optical signature modeling, spectral data analysis, and machine learning-enabled sensor workflows. The work spans algorithm development, data pipeline construction, and integration of ML capabilities into operational and analytical environments.

You will work directly with scientists, sensor domain experts, and intelligence analysts - translating complex technical requirements into functional, maintainable software. This is not a role for someone looking to coast. We want someone who is technically sharp, can operate with a degree of autonomy, and understands that the software they build has real downstream impact on mission outcomes.

What You'll be Owning

  • Design, develop, and maintain Python-based software tools supporting optical signature modeling, spectral sensor data processing, and analytical workflows.
  • Work with sensor physicists, data scientists, and machine learning engineers to translate technical concepts and mission requirements into working software.
  • Build and optimize data pipelines for ingesting, processing, and analyzing large-scale scientific and sensor datasets.
  • Develop and integrate machine learning workflows - including training data preparation, model integration, and evaluation - into operational toolsets.
  • Create clear software architecture documentation, workflow diagrams, and code structure so tools can be maintained, extended, and transitioned effectively.
  • Test, validate, and troubleshoot algorithms and software modules across development and deployment environments, including classified workspaces.
  • Manage and maintain Git repositories with discipline - clean commits, meaningful documentation, and reproducible builds.
  • Contribute to a culture of technical rigor: peer reviews, coding standards, and honest engagement with complex problems.

What You Must Have

  • Active Top Secret clearance with ability to obtain SCI and CI polygraph.
  • Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a related STEM field. Equivalent hands-on experience will be considered.
    • 9+ years of professional software development experience, with demonstrated focus on scientific computing, algorithm development, data processing, or related technical domains or 7+ years of experience and a Masters degree
  • Expert-level Python programming, including object-oriented design, modular architecture, and production-quality code.
  • Experience developing software for data-intensive workflows - sensor data, scientific data, simulation, or equivalent.
  • Ability to work from technical or scientific requirements and produce well-structured software architecture, logic flows, and implementation plans.
  • Comfortable operating in both Windows and Linux environments, including secure or classified customer workspaces.
  • Familiarity with source control and development tooling: Git, GitLab, Bitbucket, Jira, Jenkins, or equivalent.
  • Strong communication skills - able to work directly with domain experts who are not software engineers and translate what they need into software that actually works.

What Would be Nice to Have

  • Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral data processing.
  • Familiarity with machine learning frameworks and workflows: PyTorch, TensorFlow, scikit-learn, or equivalent.
  • Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar.
  • Background in signal processing, image processing, or remote sensing data workflows.
  • Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.
  • Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and deployment workflows.
  • Experience integrating algorithms into existing operational software suites.
  • Proficiency in a secondary technical language: C, C++, MATLAB, Java, or Rust.
  • Advanced degree in a relevant technical field (Computer Science, Electrical Engineering, Physics, Image Science, or related).
  • Prior experience supporting defense, intelligence, or classified customer environments.
  • Experience with CI/CD practices, automated testing, and DevSecOps tooling.