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Remote Machine Learning Jobs in Dunmore, PA (NOW HIRING)

Kane is Able

Supply Chain Operations Analyst

Scranton, PA · Remote

$71K - $96K/yr

This is a fully remote role with travel required Work Schedule: Monday-Friday 1st shift Travel ... machine learning, and generative AI technologies as applicable. Customer, Leadership, and Cross ...

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Remote Machine Learning information

See Dunmore, PA salary details

$25.3K

$42.2K

$87.3K

How much do remote machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote machine learning in Dunmore, PA is $42,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,600.00 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.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs

What cities near Dunmore, PA are hiring for Remote Machine Learning jobs?

Cities near Dunmore, PA with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you

Supply Chain Operations Analyst

Kane is Able

Scranton, PA • Remote

$71K - $96K/yr

Full-time

Posted 4 days ago

ID Logistics rating

6.1

Company rating: 6.1 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

317th of 364 rated logistics

Job description

Position Overview

The Operations Analyst will support Operations, Engineering, Finance, Business Intelligence, and customer leadership teams through advanced research, operational analysis, dashboard development, reporting, automation, systems integration, and continuous improvement initiatives. This roleis responsible foranalyzing large and complex data sets,identifyingtrends and performance drivers, developing actionable insights, and translating business needs into scalable reporting and process improvement solutions.This position is highly analytical and research-driven, requiring the ability to synthesize complex operational, financial, engineering, and business performance data into clear reports, dashboards, visualizations, and recommendations that improve visibility, support strategic decision-making, and drive operational performance across the organization.

Location:This is a fully remote role with travel required

Work Schedule:Monday-Friday 1st shift

Travel Specifics:Up to 25% depending on needs of the business and subject to change as business needs change

Competitive Total Rewards:Competitive salary of $71,000-$96,000 plus a yearly bonus

This position is not eligible forimmigrationsponsorship.

Key Responsibilities

Data Research, Analysis, and Operational Insights

  • Lead research and analysis efforts using large operational, engineering, financial, and business data sets toidentifytrends, patterns, opportunities, and performance drivers.
  • Analyze business performance across different operational areas and provide data-driven recommendations to improve efficiency, productivity, and overall performance.
  • Conduct root cause analysis and translate findings into actionable recommendations for leadership teams.
  • Monitor key business, financial, productivity, KPI, SLA, and contractual performance indicators toidentifychallenges, risks, trends, and opportunities for improvement.
  • Provide insights related to budgetary forecasts, financial performance, operationalefficiencies, and future business risks or opportunities.

Reporting, Dashboards, and Data Visualization

  • Design, develop, andmaintainresearch reports, dashboards, and visualizations using tools such as Power BI, Tableau, Excel, Qlik, Looker, or similar platforms.
  • Partner with business stakeholders to define reporting requirements, success metrics, key research questions, and customer-specific reporting needs.
  • Improve visibility into operational, maintenance, engineering, financial, and business performance through clear, scalable reporting solutions.
  • Ensureall research outputs, dashboards, reports, and visualizations are aligned with businessobjectivesand presented clearly to internal teams, leadership, and customers.

SQL Development, Data Quality, and Business Intelligence Support

  • Develop andmaintainSQL queries to support data extraction, validation, reconciliation, and reporting.
  • Investigate data quality issues and support reconciliation efforts to improve reporting accuracy and consistency.
  • Collaborate with Business Intelligence teams to ensure operational reporting, dashboards, and analytical outputs areaccurate, consistent, and reliable.

Systems Integration, Automation, and Emerging Technologies

  • Support API, SFTP, ETL, data exchange, and system integration initiatives with internal and external partners.
  • Assistwith testing, validation, deployment, and improvement of data exchange processes and system integrations.
  • Develop or support automation solutions using tools such as Python, Alteryx, Power Automate, n8n, or similar platforms.
  • Identifyopportunities toeliminatemanual processes through automation, workflow improvements, and reporting enhancements.
  • Work with IT, Internal Systems, and Business Intelligence teams to explore automated data collection, reporting capabilities, and new tools or methodologies that improve research accuracy and efficiency.
  • Support AI-driven process improvements and gain exposure to artificial intelligence, machine learning, and generative AI technologies as applicable.

Customer, Leadership, and Cross-Functional Collaboration

  • Partner with Operations Managers, General Managers, Engineering leadership, Finance, Business Intelligence, and customer teams to understand business challenges and analytical needs.
  • Collaborate with leadership teams to define research questions, deliver insights, and tailor reports to business and customer needs.
  • Serve as a trusted resource for operational reporting, performance analysis, and research-based recommendations.
  • Present analytical findings, research results, and recommendations to both technical and non-technical audiences.
  • Respond to ad hoc research, reporting, and analytical requests from internal teams, customers, Operations, Engineering, and Finance.

Continuous Improvement and Strategic Support

  • Support continuous improvement initiatives by analyzing operational KPIs, labor productivity, performance trends, and business challenges.
  • Assistsenior leadership with strategic decision-making by conducting research to forecast future trends, risks, and opportunities.
  • Maintain a focus on research innovation, operational improvement, automation, and scalable analytics practices.

#LI-SALARY

Minimum Qualifications

  • Bachelor's degreerequiredin Business, Economics, Statistics, Industrial Engineering, Supply Chain, Operations Management, Business Analytics, Information Systems, Data Analytics, ora related field.
  • 1+ years of experience in business research, data analysis, analytics, operations, engineering, continuous improvement, supply chain, or a related analytical role.
  • Strong Microsoft Excel skills, including experience using Excel for data analysis.
  • Experience working with SQL for data extraction and analysis.
  • Experience with data visualization tools such as Power BI, Tableau, Qlik, Looker, or similar platforms.
  • Strong research and analytical skills, including the ability to interpret complex data trends, statistical findings, key metrics, and performance drivers.
  • Strong problem-solving and organizational skills with the ability to manage multiple projects, priorities, and competing deadlines.
  • Excellent verbal and written communication skills with the ability to present findings and recommendations to technical and non-technical audiences.
  • Ability to work independently in a fast-paced environment with competing priorities.
  • Flexibility with work schedule and hours whenrequired.

Preferred Qualifications

  • Industrial Engineering background.
  • Internship or professional experience inlogistics, warehousing, supply chain, manufacturing, or 3PL operations.
  • Experience with Alteryx, Python, Power Automate, n8n, or similar automation tools.
  • Experience building dashboards and reporting solutions.
  • Experience supporting system integrations, APIs, ETLs, SFTP, or other data exchange processes.

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