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Remote Easiest Computer Science Jobs in Ohio (NOW HIRING)

Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...

D. preferred) in computer science, electrical engineering, or a related field.* Exceptional ... Remote - Germanytime type: Full timeposted on: Posted 22 Days Agotime left to apply: End Date:

INTERNSHIP - Threat Hunter - REMOTE

Stow, OH · Remote

$13.75 - $18.25/hr

Currently pursuing a bachelor's degree or master's degree in Cybersecurity, Computer Science, or ... remote friendly work environment, as well as training opportunities to expand your skill set (to ...

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

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Remote Easiest Computer Science information

What are remote easiest computer science jobs?

Remote easiest computer science jobs are positions in the tech field that can be performed from anywhere and typically require less experience or specialized knowledge compared to more advanced roles. Examples include data entry, website testing, technical support, QA testing, or junior web development. These roles often involve basic programming, troubleshooting, or administrative IT tasks, making them accessible to beginners or those looking to enter the tech industry. Flexibility and the ability to work from home make these jobs appealing for many seeking work-life balance.

What are some common challenges faced when working remotely in entry-level computer science roles, and how can they be managed?

Remote entry-level computer science roles often require strong self-discipline and time management, as it can be easy to get distracted without in-person supervision. Clear communication is also essential, since collaborating with team members and managers happens mainly through digital channels. To manage these challenges, it helps to establish a structured daily routine, proactively seek feedback, and use collaboration tools like Slack or Jira to stay connected with your team. Participating in regular check-ins and asking questions can also support your growth and ensure you remain aligned with project goals.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Professional, and why are they important?

To thrive as a Remote Computer Science Professional, you need a solid understanding of programming languages, algorithms, and computer systems, often supported by a relevant degree or certifications. Familiarity with version control systems (like Git), cloud platforms, and remote collaboration tools is typically required. Strong problem-solving skills, self-motivation, and effective communication are crucial soft skills for excelling in a remote environment. These skills and qualities ensure productivity, technical proficiency, and seamless teamwork despite physical distance.

What is the difference between Remote Easiest Computer Science vs Remote Web Developer?

AspectRemote Easiest Computer ScienceRemote Web Developer
Required CredentialsBasic programming knowledge, certifications optionalHTML, CSS, JavaScript skills, often certifications or courses
Work EnvironmentRemote, flexible hours, individual tasksRemote, collaborative, project-based
Industry UsageBroad tech industry, entry-level rolesWeb development agencies, startups, tech companies
Search & Comparison IntentLooking for easy entry-level tech jobsSeeking web development roles with manageable complexity

Remote Easiest Computer Science typically involves entry-level programming tasks with minimal certifications, suitable for beginners. Remote Web Developer roles focus on building websites using HTML, CSS, and JavaScript, often requiring specific skills but still accessible for newcomers. Both roles are remote and entry-level, but Web Developer positions are more specialized in web technologies, while Computer Science roles may cover broader programming tasks.

What are the most commonly searched types of Easiest Computer Science jobs in Ohio? The most popular types of Easiest Computer Science jobs in Ohio are:
What are popular job titles related to Remote Easiest Computer Science jobs in Ohio? For Remote Easiest Computer Science jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Easiest Computer Science jobs in Ohio look for? The top searched job categories for Remote Easiest Computer Science jobs in Ohio are:
What cities in Ohio are hiring for Remote Easiest Computer Science jobs? Cities in Ohio with the most Remote Easiest Computer Science job openings:
Remote Sensing Software Engineer

Remote Sensing Software Engineer

Booz Allen Hamilton, Inc.

Dayton, OH • On-site, Remote

$69K - $158K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 22 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description

Remote Sensing Software Engineer
The Opportunity
At Booz Allen, you'll join a team using advanced imaging, physics-based modeling, and AI/ML to solve some of the nation's most compelling Space Domain Awareness (SDA) and remote sensing challenges. You'll contribute to the design and development of high-fidelity processing pipelines that transform raw sensor data into insight.
You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, user centric tools that accelerate mission outcomes.
What You'll Do:
  • Develop software tools for radiometric modeling and satellite observation geometry
  • Implement imaging and signal processing workflows including motion compensation, multi-frame alignment, and super-resolution
  • Build ML enabled detection, anomaly identification, and object classification modules using operational EO/IR and synthetic datasets
  • Design scientific Python pipelines, such as NumPy, OpenCV, Astropy, or SciPy, for real time and batch processing
  • Support orbital modeling tasks, such as SGP4, TLE ingestion, or basic pose estimation
  • Conduct imagery preprocessing such as radiometric calibration, artifact correction, and multi-frame filtering
  • Maintain reproducible environments using GitLab, containers, and experiment-tracking tools
  • Collaborate with astrodynamics SMEs, operations personnel, and ML engineers to deliver integrated mission capabilities

Join us. The world can't wait.
You Have:
  • 4+ years of experience with remote sensing, image processing, or GEOINT data exploitation
  • Experience designing, modifying, developing, writing, and implementing software programming applications using agile methods
  • Experience with Python and scientific Python packages such as NumPy, SciPy, OpenCV, or xarray
  • Experience with basic orbital mechanics
  • Experience with ML frameworks such as PyTorch or TensorFlow
  • Experience with large sensor datasets such as HDF5 or cloud object storage
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience with administration of continuous integration/continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Experience with sensor phenomenology, radiometric calibration, or remote sensing interpretation
  • Experience with super-resolution, deblurring, spectral exploitation, or resolved feature extraction
  • Experience with uncertainty quantification, Kalman filtering, or tracking algorithms
  • Experience with AI augmented development workflows or agentic tools
  • Experience with GitLab based CI/CD workflows
  • Master's degree in an engineering field, or Physics, Mathematics, Computer Science, or a related STEM field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,300.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

What Booz Allen Hamilton employees say

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914