ZipRecruiter

Log In

2

Remote Data Science Jobs in Ohio (NOW HIRING)

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... science, technology, and innovation problems. This work is in support of US Air Force and ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

CareSource

Applied AI Scientist III

Dayton, OH · On-site +1

This position requires a highly skilled AI expert capable of delivering complex data science projects independently while guiding other data scientists through technical expertise and code reviews.

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108.80K - $181.30K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108.80K - $181.30K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

Aimpoint Digital

$99.10K - $136.10K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Partner closely with data engineers, analysts, data scientists to support production-grade ...

next page

Showing results 1-20

People also search for

All JobsRemote Data Science JobsRemote Data Science Jobs in Ohio

Remote Data Science information

See Ohio salary details

$21.5K

$95.6K

$182.4K

How much do remote data science jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data science in Ohio is $95,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,362.00 and $132,547.00 per year, depending on experience, location, and employer.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications 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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Ohio? The most popular types of Data Science jobs in Ohio are:
What are popular job titles related to Remote Data Science jobs in Ohio? For Remote Data Science jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Ohio look for? The top searched job categories for Remote Data Science jobs in Ohio are:
What cities in Ohio are hiring for Remote Data Science jobs? Cities in Ohio with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Ohio as of May 2026, with employment types broken down into 8% Internship, 84% Full Time, and 8% Part Time. Highlights an 100% Remote job distribution, with an average salary of $95,562 per year, or $45.9 per hour.
Physicist / Remote Sensing Scientist

Physicist / Remote Sensing Scientist

Barone Consulting

Dayton, OH • Remote

Full-time

Posted 7 days ago

Job description

We are seeking an experienced TS/SCI cleared Remote Sensing Scientist / Physicistwith a deep understanding of the mathematics/geometry of sensor homography / image stitching. The ideal candidate will have photogrammetry skills and a background with remote sensing principles and sensor/target phenomenology or spectral phenomenology and algorithm development experience across a broad spectral range from visible to thermal. If your strength lies in domain image processing and data/scene exploitation and you want to work on a compelling project that has to do with enabling next-generation capabilities for national defense, specifically to help shape the future of airborne and space-based surveillance, this position will place you at the cutting edge.You will support a large R&D program that is focused on providing advanced intelligence capabilities for the benefit of the DoD and IC communities.

You will be part of a very high visibility project on a mid-sized team where you will work with seasoned scientists and developers, creating solutions to complex problems within a collaborative team environment.ResponsibilitiesDevelop and apply advanced models for sensor homography, image stitching, and geometric alignment of multi-sensor and/or multi-modal imageryAnalyze remote sensing data using domain-specific knowledge of sensor and target phenomenology (OPIR, EO, MSI, etc)Implement computer vision and image processing techniques for large-scale scene exploitationSupport development and analysis of persistent collection systems and architecturesConduct technical studies involving focal plane array characteristics, such as quantum efficiency, flux density, pixel crosstalk, and noise modelingUtilize Python and/or MATLAB for prototyping, algorithm development, and data analysis to write scientific code for clutter and noise mitigation, image reconstruction, compressive sensing, tracking, detection, feature extraction and classification, stereo, machine learning, signal processing, and radiometric calculationsCollaborate on multidisciplinary R&D efforts and contribute to technical strategy developmentRequired Must Have SkillsIn-depth understanding of mathematical principles behind image registration, sensor fusion, and geometric modelingStrong grasp of scientific focal plane array (FPA) concepts, including quantum efficiency, crosstalk, pixel sensitivity, and flux behaviorFamiliarity with persistent collection systems, their design considerations, and operational implicationsDemonstrated expertise in domain-specific remote sensing, including sensor/target interactionsProficiency in both Python and MATLAB and for scientific computing and algorithm developmentExperience developing or optimizing algorithms for deployment in operational environmentsActive TS/SCI clearance with CI Scope PolygraphExperience designing and deploying computer vision algorithms in remote sensing workflowsKnowledge of spectral imaging, radiometric calibration, or sensor characterizationWorking familiarity with AI/ML techniques applied to spatial or temporal imageryRecord of published work or conference presentations in the fields of remote sensing or sensor modelingExperience transitioning algorithms from prototype to deployed system in defense or ISR environmentsQualifications (education/experience substitutions are allowed)Mid-level candidates must have a B.A./B.S. and 4 years of experienceSenior level candidates must have a B.A./B.S. and 10 years of experienceSME level candidates must have a M.A./M.S.

and 18 years of experienceJ-18808-Ljbffr

Apply