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Remote Masters Computer Science Jobs in Ohio (NOW HIRING)

Master's Degree in computer science, statistics, economics or related fields * 3+ years of work and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Strategist

Continental, OH · Remote

$115K - $125K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Bachelor's degree in Information Systems, Data Science, Computer Science, or related discipline.

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 ... Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.

Master's degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology #CyberServiceNow For individuals assigned and/or hired to work in Remote role ...

Master's degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology #CyberServiceNow For individuals assigned and/or hired to work in Remote role ...

Master's degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology #CyberServiceNow For individuals assigned and/or hired to work in Remote role ...

Showing results 41-60

Remote Masters Computer Science information

What is a remote masters in computer science?

A Remote Masters in Computer Science is a graduate-level degree program that is completed entirely online, allowing students to study from anywhere without needing to attend classes on campus. These programs typically cover advanced topics in computer science such as algorithms, artificial intelligence, machine learning, cybersecurity, and software engineering. Students interact with professors and peers through virtual classrooms, discussion forums, and online assignments. Many remote programs offer flexible schedules, making them ideal for working professionals or those with other commitments. Graduates of remote masters programs receive the same degree as their on-campus counterparts and can pursue careers in academia, research, or the tech industry.

What are the key skills and qualifications needed to thrive as a remote masters in computer science graduate?

To thrive as a Remote Masters in Computer Science graduate, you need advanced knowledge in algorithms, data structures, programming languages, and a relevant master's degree. Familiarity with software development tools, cloud platforms, version control systems, and certifications in areas like AWS or machine learning are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set exceptional candidates apart. These competencies are crucial for tackling complex technical challenges and collaborating efficiently in distributed teams.

What are some common challenges faced by students in a remote masters in computer science program, and how can they be overcome?

Students pursuing a remote Master's in Computer Science often face challenges such as staying motivated without in-person interaction, managing time effectively, and collaborating with peers on group projects. To overcome these, it's important to establish a structured daily routine, actively participate in virtual study groups, and utilize online collaboration tools like GitHub or Slack. Many programs also offer virtual office hours and mentoring, so taking advantage of these resources can greatly enhance your learning experience and help you stay connected with both faculty and classmates.

What are the most commonly searched types of Masters Computer Science jobs in Ohio?

The most popular types of Masters Computer Science jobs in Ohio are:

What cities in Ohio are hiring for Remote Masters Computer Science jobs?

Cities in Ohio with the most Remote Masters Computer Science job openings:

Data Scientist: III (Senior)

Huntington

Columbus, OH • On-site, Remote

Full-time

Posted 10 days ago


Job description

Description

Summary:

The Senior Data Scientist contributes to building and developing the organization's data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.

Duties and Responsibilities:

  • Performs advanced analytics methods to extract value from business data.
  • Performs large-scale experimentation and build data-driven models to answer business questions.
  • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
  • Determines requirements that will be used to train and evolve deep learning models and algorithms.
  • Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.
  • Influences product teams through presentation of data-based recommendations.
  • Evangelizes best practices to analytics and products teams.
  • Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.
  • Performs other duties as assigned.

Basic Qualifications:

  • Master's Degree in computer science, statistics, economics or related fields
  • 3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.

Preferred Qualifications:

  • Up-to-date knowledge of machine learning and data analytics tools and techniques
  • Strong knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Demonstrated ability to communicate complex results to technical and non-technical audiences
  • Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
  • Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
  • Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
  • Financial Services background


Exempt Status: (Yes= not eligible for overtime pay) (No= eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.