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

Booz Allen Hamilton, Inc.

AI Developer

Beavercreek, OH · On-site +1

$77K - $176K/yr

Bachelor's degree in Computer Science, Software Engineering, or Data Science Nice If You Have ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

micro1 AI

AI Trainer - Microbiology Expert

Dayton, OH · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Booz Allen Hamilton, Inc.

AI/ML Engineer

Dayton, OH · On-site +1

$99K - $225K/yr

Experience with data science, ML engineering, software engineering, data research, or data ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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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 Engineer SME

Riverside Research Institute

Dayton, OH • Remote

$175K - $210K/yr

Full-time

Posted 17 days ago

Job description

Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the countrys most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.

Riverside Research is seeking a highly skilled Subject Matter Expert Overhead Persistent Infrared (OPIR) Research Engineer to support the National Geospatial Intelligence Agency involving infrared sensing, space-based missile warning systems, data exploitation, and algorithm development. The ideal candidate will have a strong technical background in EO/IR systems, infrared phenomenology, OPIR data analysis, and software development for remote sensing.

This role requires proven experience working with complex sensor systems, developing and testing new analysis capabilities, and collaborating with government, industry, and research partners on next-generation sensing technologies.


  • Lead prototyping, development, and support transition of advanced OPIR data processing algorithms
  • Evaluate and troubleshoot data processing, identify anomalies, and coordinate remediation strategies
  • Support development of white papers, technical documentation, and transition plans
  • Collaborate with research organizations, DoD stakeholders, and external agencies

Required Qualifications

  • Active TS/SCI clearance
  • Advanced understanding of EO/IR signal processing, AI/ML processing, and target system phenomenology
  • Bachelor’s degree in Computer Engineering, Physics, Computer Science, or related technical field
  • 15+ years of experience in EO/IR algorithm development
  • Detailed experience with OPIR data formats and processing pipelines
  • Advanced Python development skills
  • Strong analytical skills and ability to diagnose sensor performance, data anomalies, and software issues

Desired Qualifications

  • Experience with OPIR analysis
  • Master’s degree in Computer Engineering, Physics, Computer Science, or related technical field
  • Experience collaborating with NGA, NASIC or other intelligence community organizations

$175,000- $210,000 This represents the typical compensation range for this position based on experience, location and other factors.
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veterans status or any other status legally protected by applicable federal, state, and local law.

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