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Hourly Remote Machine Learning Jobs in North Carolina

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

You Have: * 5+ years of experience in data science or machine learning engineer roles * Experience ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Big Data engineer

Naples, NC · On-site +1

$53.25 - $70.50/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Operationalize machine learning workflows and support AI-enabled applications from development ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Product Manager

Charlotte, NC · Remote

$130K - $150K/yr

We're exploring how AI and machine learning can help maintenance teams predict equipment failures ... Comfortable working in a fully remote environment and collaborating with teammates across multiple ...

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0239248 Location: Fayetteville,NC,US Share job via: Share Data Scientist The Opportunity: Ever-expanding technologies like IoT, machine learning, and artificial ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Showing results 21-40

Hourly Remote Machine Learning information

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

AspectHourly Remote Machine LearningHourly Remote Data Scientist
Required CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are commonRequires a degree in statistics, data science, or related fields; certifications in data analysis or statistical modeling are beneficial
Work EnvironmentRemote, project-based, often involves developing algorithms and modelsRemote, analytical focus, involves data analysis, visualization, and insights generation
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, tech firms

Hourly Remote Machine Learning professionals focus on developing algorithms and models, often requiring specialized AI knowledge, while Hourly Remote Data Scientists analyze data to generate insights. Both roles are remote, but their core tasks and industry applications differ slightly.

What are the most commonly searched types of Remote Machine Learning jobs in North Carolina?

The most popular types of Remote Machine Learning jobs in North Carolina are:

What cities in North Carolina are hiring for Hourly Remote Machine Learning jobs?

Cities in North Carolina with the most Hourly Remote Machine Learning job openings:

Business Analytics- Intern (Remote)

DivIHN

Charlotte, NC • On-site, Remote

Contractor

Posted 7 days ago


Job description

For further inquiries about this opportunity, please contact one of our Talent Specialists, Tenishbabu at 224 507 1292 or Anto at 2243692969.
Title: Business Analytics- Intern (Remote)
Duration: 9 Months
Location: Charlotte, NC

Prefered candidates in EST, CST Time Zone
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.
Description
This role will be responsible for leading detailed research and analysis on assigned competitive intelligence topics in support of business strategy and planning activities. Analytics will also be applied internally to evaluate select business opportunities. Time will flex between ongoing analyst activities and project-based assignments.
Key Skills and Competencies
  • Advanced Analytics: Use data-driven approaches, statistical modeling, and machine learning tools to extract insights and inform decision-making.
  • Automation Expertise: Identify and implement process automation solutions to improve efficiency and scalability.
  • Business Acumen: Understand market dynamics, competitive positioning, and customer needs.
  • Strategic Thinking: Identify strategic issues, analyze research and data, consider implications, and make actionable recommendations.
  • Innovation Management: Collaborate on automation-driven innovation processes for product enhancements or process improvements.
  • Communication: Present updates, recommendations, and findings to senior leadership with clarity and precision.

Structure
1. Strategy & Planning: Developing strategies to address business challenges and long-term opportunities using analytics-driven insights.
2. Business Development: Exploring market opportunities and competitive analysis with automation tools to streamline workflows.
3. Manufacturing & Engineering: Understanding operations and using automation to improve efficiency and scalability.
4. Innovation Management: Collaborating with cross-functional teams to develop data-driven product improvements and automate processes.
By the end of the program, interns will have gained valuable insights into these areas and honed their ability to work independently, leverage automation, and deliver measurable results.
Job Responsibilities in Detail
1. Strategic Development
  • Define Strategic Issues: Analyze and articulate core problems or opportunities using advanced analytics.
  • Research and Analysis: Implement data collection pipelines and apply statistical and machine learning models for actionable insights.
  • Strategic Implications: Assess short-term and long-term effects of strategic options using predictive analytics and scenario modeling.
  • Actionable Recommendations: Present findings with automation-enhanced dashboards and clear action plans.
  • Execution: Implement strategies and monitor outcomes using automated tracking systems.

2. Data Analytics and Automation
  • Advanced Analytics: Use tools such as Python, R, SQL, or Power BI to analyze large datasets, model trends, and generate insights.
  • Automation: Identify repetitive tasks and implement process automation using tools like UiPath, Microsoft Power Automate, or custom scripts.
  • Quality Assurance: Ensure the accuracy and consistency of data-driven decisions by automating validation processes.
  • Cross-Functional Collaboration: Support decision-making with real-time, automated reporting shared across teams.

3. Innovation Team Engagement
  • Collaborate with multi-functional innovation teams to:
  • Develop value propositions for products and services using analytics and automation.
  • Forecast market opportunities with predictive modeling and automated data pipelines.
  • Conduct competitive assessments using automation tools to collect and analyze competitor data.

Qualities of a Successful Intern
  • Analytical Expertise: Strong ability to use data to identify patterns, solve problems, and inform strategies.
  • Automation Skills: Proficiency in identifying opportunities for process automation and implementing solutions.
  • Independence: Ability to manage work autonomously within a complex, global organization.
  • Organizational Skills: Effectively prioritize tasks and manage time to meet deliverables.
  • Judgment and Decision-Making: Use advanced analytics and automation tools combined with intuition to assess data and make sound recommendations.
  • Communication Skills: Clearly present updates, recommendations, and insights using automated dashboards and reports.
  • Collaboration: Work effectively with cross-functional teams, including business, operations, and technology leaders.

Education:
Bachelors