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Remote Data Scientist Jobs in Springfield, OH (NOW HIRING)

GRVTY

Software Engineer, Senior

Dayton, OH · 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 ...

SIERTEK LTD

Visual Analyst* (26.32)

Beavercreek, OH · On-site +1

Data Science * Bioinformatics * or a closely related quantitative discipline * Minimum 1 year of professional experience in visual analytics, data analytics, or a related field. * Demonstrated ...

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Showing results 21-40

All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Springfield, OH

Remote Data Scientist information

See Springfield, OH salary details

$33.8K

$110.6K

$177K

How much do remote data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data scientist in Springfield, OH is $110,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,700.00 and $122,500.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Springfield, OH?

The most popular types of Data Scientist jobs in Springfield, OH are:

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

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

What cities near Springfield, OH are hiring for Remote Data Scientist jobs?

Cities near Springfield, OH with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Springfield, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $110,556 per year, or $53.2 per hour.

Remote Sensing OPIR Engineer - #898

Allen Integrated Solutions

Dayton, OH • On-site, Remote

Full-time

Posted 11 days ago

Job description

Remote Sensing OPIR Engineer - #898
Clearance Required: TS/SCI
Minimum Years' Experience: 5 years of experience in EO/IR algorithm development
Dayton, Ohio - 100% onsite
Overall Assignment Description:
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Allen Integrated Solutions is seeking a highly skilled Remote Sensing OPIR Engineer to support the National Geospatial-Intelligence Agency (NGA) in infrared sensing, space-based missile warning systems, data exploitation, and algorithm development. The ideal candidate will possess a strong technical background in electro-optical/infrared (EO/IR) systems, infrared phenomenology, Overhead Persistent Infrared (OPIR) data analysis, and remote-sensing software development.
This role requires demonstrated experience working with complex sensor systems, developing and testing advanced analytical capabilities, and collaborating with government, industry, and research partners on next-generation sensing technologies.
Responsibilities
  • Prototype and develop advanced OPIR data-processing algorithms and support their transition into operational environments.
  • Evaluate and troubleshoot data-processing pipelines, identify anomalies, and coordinate remediation strategies.
  • Support the development of white papers, technical documentation, and technology-transition plans.
  • Collaborate with research organizations, Department of Defense stakeholders, Intelligence Community organizations, and external agencies.
Required Qualifications
  • Active TS/SCI clearance.
  • Bachelor's degree in computer engineering, physics, computer science, or a related technical field.
  • At least five years of experience in EO/IR algorithm development.
  • Advanced understanding of EO/IR signal processing, artificial intelligence and machine learning applications, and target-system phenomenology.
  • Detailed experience with OPIR data formats and processing pipelines.
  • Advanced Python development skills.
  • Strong analytical and problem-solving skills, including the ability to diagnose sensor-performance issues, data anomalies, and software problems.
Desired Qualifications
  • Direct experience performing OPIR analysis.
  • Master's degree in computer engineering, physics, computer science, or a related technical field.
  • Experience collaborating with NGA, NASIC, or other Intelligence Community organizations.

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