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

Principal Data Scientist - FCAS

Cincinnati, OH ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing. * Experience with Databricks or similar big data ...

New

Principal Data Scientist - FCAS

Amelia, OH ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing. * Experience with Databricks or similar big data ...

New

Senior Field Service Technician

Milford, OH ยท Remote

$83K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Remote. Key Responsibilities * Be responsible for hands-on execution of projects including Startup ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Technical Product Manager

Cincinnati, OH ยท On-site +1

$160K - $185K/yr

... powered by intelligent machines. If you're driven by ambition, success, fun, and learning ... Remote work options ???? * Flexible working hours ???? * Benefits above the law * But it's not just ...

Data Engineer

Cincinnati, OH ยท On-site +1

$109K - $132K/yr

  • Medical

  • Retirement

  • PTO

Ongoing training and continuous learning opportunities throughout your career * An environment that encourages employees to influence change, contribute ideas, and grow quickly Other Employee ...

Data Engineer (AI) - Cincinnati

Cincinnati, OH ยท On-site +1

$109K - $132K/yr

  • Medical

  • Retirement

  • PTO

Ongoing training and continuous learning opportunities throughout your career * An environment that encourages employees to influence change, contribute ideas, and grow quickly Other Employee ...

Showing results 21-40

Remote Machine Learning information

See Fairfield, OH salary details

$24K

$40.1K

$82.9K

How much do remote machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote machine learning in Fairfield, OH is $40,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,600.00 and $43,300.00 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.

What are the most commonly searched types of Machine Learning jobs in Fairfield, OH?

The most popular types of Machine Learning jobs in Fairfield, OH are:

What are popular job titles related to Remote Machine Learning jobs in Fairfield, OH?

For Remote Machine Learning jobs in Fairfield, OH, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Fairfield, OH look for?

The top searched job categories for Remote Machine Learning jobs in Fairfield, OH are:

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

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

Infographic showing various Remote Machine Learning job openings in Fairfield, OH as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $40,105 per year, or $19.3 per hour.

[US] Customer Success Operations Analyst

Benchmark Gensuite

Cincinnati, OH โ€ข Remote

Other

Posted 4 days ago


Job description

Customer Success Operations Analyst
Full Time - Remote
Cincinnati, OH

Innovate with Benchmark Gensuite as a Customer Success Operations Analyst
Everyone wants to make the world a better place. We work to make it happen. By joining Benchmark Gensuite and exploring careers in the EHS, Sustainability, and ESG Disclosure Reporting space, you’ll be helping customers throughout the business community empower informed decision making, improve employee safety, and lessen their environmental footprint while creating a culture that values diversity, equity, and inclusion. Join us and help make the corporate world better for the planet and better for its employees.
Benchmark Gensuite jobs play a crucial role in helping develop our unified EHS, Sustainability, and ESG digital transformation software solutions that enable cross-functional performance excellence, enhance businesses’ sustainability efforts, and help them achieve their ESG goals. With our incredible global team, the collaborative spirit of our subscribers and partners, and the continuous innovation in exciting new technologies like Artificial Intelligence, Machine Learning, and IoT, a career at Benchmark Gensuite mean you will continuously use and evolve your skills to develop fresh ideas and initiatives. 
Benchmark Gensuite Benefits
At Benchmark Gensuite, your hard work is rewarded. We offer annual bonus programs, regular team-building events, and off-cycle reviews to promptly give excellent performers their due. With engaging team activities including happy hours and exciting virtual events, we actively encourage our teams to connect and build a strong, supportive, and fun rapport! Our Benchmark Gensuite Team Member Networks, like the Respect for Diversity Group and the Sustainability Group, offer a safe and supportive space, bringing together team members who share a common identity and empowering them to voice their ideas and initiate action. Explore Benchmark Gensuite job openings and come join us as we combine our collective creativity and passion to meet and exceed the expectations of our customers.
About Benchmark Gensuite… 


Benchmark Gensuite® enables companies to implement robust, cross-functional digital systems for EHS, Sustainability, and ESG Reporting through a unified digital platform—locally, globally and across diverse operating profiles.
With intuitive, best-practice-based process functionality, flexible configurations, and powerful extensions, the Benchmark Gensuite® platform has helped companies worldwide manage their EHS, Sustainability; Quality; Operational Risk and Compliance; Product Stewardship, and Supply Chain Risks for over two decades; and now organically integrated with cutting-edge ESG disclosure reporting and management solutions. Join over 3 million users that trust Benchmark Gensuite® with their software system needs and benefit from rapid deployment and adoption, immediate return on investment (ROI), service excellence, and collaborative innovation.

About the Role


We are seeking a technically curious and process-oriented Customer Success Operations Analyst to administer and continuously improve the systems that support our Subscriber Success organization.

In this early-career individual-contributor role, you will translate approved Subscriber Success strategies and processes into effective system configurations, workflows, reports, and user experiences across platforms such as Vitally, Onboard.io, Staircase, and related tools.

You will partner with Subscriber Success leaders and other stakeholders to understand business needs, clarify requirements, identify technical or process constraints, and recommend practical implementation approaches. This role focuses on implementing strategic direction within our systems rather than independently defining Subscriber Success strategy or business processes.

The ideal candidate is technically curious, analytical, detail-oriented, and eager to learn how people, processes, data, and technology work together. Direct experience administering Subscriber Success platforms is helpful but not required.


Key Responsibilities


  • Administer and maintain Subscriber Success platforms, including Internal Systems, Vitally, Onboard.io, Staircase, and related tools.
  • Translate approved strategies and processes into system configurations, workflows, automations, playbooks, lifecycle stages, templates, and user experiences.
  • Partner with stakeholders to understand desired business outcomes, clarify requirements, and identify dependencies or constraints.
  • Recommend technically sound alternatives when requested solutions may create unnecessary complexity or fail to achieve the intended outcome.
  • Configure and maintain health scores, success plans, onboarding workflows, alerts, tasks, segmentation rules, and other operational components.
  • Build dashboards and reports to monitor onboarding, subscriber health, engagement, adoption, risk, and operational performance.
  • Support data fields, permissions, integrations, imports, exports, and data synchronization across Subscriber Success systems.
  • Monitor data quality and system performance, troubleshoot issues, and coordinate with internal teams or vendors as needed.
  • Test system changes and ensure configurations perform as intended without disrupting existing workflows.
  • Maintain system documentation, business rules, troubleshooting procedures, user guides, and training materials.
  • Provide system support and training to users, identifying root causes and resolving issues in a clear and timely manner.
  • Manage assigned system requests according to priorities established by Subscriber Success leadership.
  • Gather user feedback and usage insights to improve usability, reliability, data visibility, and process efficiency.
  • Stay informed about platform and emerging AI capabilities and recommend practical opportunities to improve system administration and operational efficiency.


Skills and Qualifications


  • Bachelor’s degree in Business, Information Systems, Analytics, Mathematics, Engineering, Computer Science, or a related field, or equivalent practical experience.
  • 3-5 years of professional experience in Customer Success Operations, business systems, analytics, process improvement, SaaS administration, or a related operational or technical role.
  • Strong technical aptitude and ability to learn unfamiliar software systems quickly.
  • Strong analytical, mathematical, and problem-solving skills with excellent attention to detail.
  • Process-oriented mindset and interest in understanding how work moves across people, systems, and teams.
  • Ability to translate business requirements into clear system configurations and implementation steps.
  • Ability to ask thoughtful questions, challenge unclear assumptions, and recommend alternatives while respecting established decision-making authority.
  • Strong organizational skills and ability to manage multiple requests and priorities.
  • Strong written and verbal communication skills, including the ability to explain technical concepts to nontechnical users.
  • Proficiency with Microsoft Office, particularly Excel.
  • Ability to work independently in a remote environment while collaborating effectively with stakeholders.
  • Demonstrated proficiency using generative AI tools for research, analysis, troubleshooting, documentation, and operational efficiency.
  • Interest in Subscriber Success, Customer Success Operations, business systems, process improvement, SaaS administration, and emerging AI capabilities.

Preferred but not required:


  • Experience with Vitally, Onboard.io, Staircase, a Customer Success platform, CRM, or other SaaS business system.
  • Experience with reporting, data visualization, SQL, system integrations, or workflow automation.
  • Internship, academic, volunteer, or project experience involving systems, analytics, process design, technology, or operations.

Travel Requirements:


  • Occasional travel may be required for team meetings, company events, conferences, or other business needs.
  • Travel expenses, including transportation, accommodation, and meals, will be reimbursed according to the company’s travel policy.


Questions about the position? Please contact our HR Team, at jobs@benchmarkdigital.com.