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Remote Machine Learning Jobs in Continental, OH (NOW HIRING)

A-TEK Inc.

Health IT Data Scientist

Continental, OH · Remote

$110K - $120K/yr

This is a remote position. US Citizenship is required for consideration. Ability to obtain and ... Develop predictive models and machine learning algorithms. * Perform statistical analyses on ...

A-TEK Inc.

Health IT Data Analyst I

Continental, OH · Remote

$70K - $75K/yr

This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position. Essential Responsibilities * Develop ...

A-TEK Inc.

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position. Essential Responsibilities * Design and ...

All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Continental, OH

Remote Machine Learning information

See Continental, OH salary details

$22.5K

$37.6K

$77.8K

How much do remote machine learning jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote machine learning in Continental, OH is $37,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,700.00 and $40,600.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What cities near Continental, OH are hiring for Remote Machine Learning jobs?

Cities near Continental, OH with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Continental, OH as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $37,631 per year, or $18.1 per hour.

Health IT Data Scientist

A-TEK Inc.

Continental, OH • Remote

$110K - $120K/yr

Full-time

Re-posted 25 days ago

Job description

The Health IT Data Scientist II will develop advanced analytical models and predictive solutions that improve operational performance, support strategic planning, and enhance healthcare decision-making across DHS Health IT initiatives. This is a remote position.  US Citizenship is required for consideration.  Ability to obtain and retain a public trust clearance is required for consideration.

Essential Responsibilities

  • Develop predictive models and machine learning algorithms.
  • Perform statistical analyses on structured and unstructured data.
  • Identify trends, patterns, and performance indicators.
  • Develop forecasting models supporting operational planning.
  • Design data visualizations and executive dashboards.
  • Collaborate with business stakeholders to identify analytical opportunities.
  • Validate analytical models and document methodologies.
  • Support AI and advanced analytics initiatives.
  • Present analytical findings to executive leadership.
  • Stay current with emerging data science technologies and best practices.

Minimum Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related discipline.
  • Minimum seven (7) years of data science experience.
  • Experience with Python, R, SQL, and machine learning techniques.
  • Strong statistical analysis and predictive modeling skills.
  • Experience with enterprise analytics platforms.
  • Ability to obtain DHS Public Trust suitability.

Preferred Qualifications

  • Master's degree in Data Science or related discipline.
  • Experience supporting Federal healthcare programs.
  • AI/ML platform experience.
  • Experience with Power BI and Tableau.

Compensation

Expected Salary Range: $110,000-$120,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.

This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.

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