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Remote Computer Science Fresher Jobs in Louisiana

Associates degree in Computer Science, Engineering, or a related field. * Proven experience as a ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

Associates degree in Computer Science, Engineering, or a related field. * Proven experience as a ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

Bachelor's degree in Geographic Information Systems, Computer Science, Geography, or a related ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

Bachelor's degree in Geographic Information Systems, Computer Science, Geography, or a related ... Remote work and more! About DataVoice: DataVoice International's integrated utility management ...

Associates degree in Computer Science, Engineering, or a related field. * Proven experience as a ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

Associates degree in Computer Science, Engineering, or a related field. * Proven experience as a ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

$90 - $100K/hr

Department Overview This is a Remote position and candidates can be located anywhere in the US ... High School diploma, Associate's or Bachelor's degree in Computer Science, Engineering, IT, or ...

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Remote Computer Science Fresher information

What is a remote computer science fresher?

Remote Computer Science Freshers are recent graduates or entry-level professionals who have a background in computer science and work remotely, often from home or another location outside a traditional office. They typically perform tasks such as software development, testing, debugging, or basic IT support under supervision. These roles allow freshers to gain industry experience while enjoying the flexibility that remote work offers. Companies hire remote computer science freshers to tap into a wider talent pool and reduce overhead costs. This arrangement is becoming increasingly popular due to advances in collaboration technologies and the global shift towards remote work.

What skills and qualifications are needed to thrive as a remote computer science fresher?

To thrive as a Remote Computer Science Fresher, you typically need a solid understanding of programming fundamentals, algorithms, and problem-solving, with a relevant degree or coursework in computer science. Familiarity with coding platforms (like GitHub), collaboration tools (such as Slack or Zoom), and basic knowledge of software development environments is often expected. Strong self-motivation, effective communication, and time management are crucial soft skills for remote work success. These skills and qualities are vital for delivering quality work, staying connected with remote teams, and adapting to the fast-evolving tech landscape.

How do remote computer science freshers typically collaborate with their teams despite working from different locations?

As a Remote Computer Science Fresher, you'll often use a variety of digital tools—such as Slack, Microsoft Teams, or Zoom—to communicate with your colleagues and participate in team meetings. Project management platforms like Jira or Trello are commonly used to track tasks and progress. Regular check-ins, code reviews, and pair programming sessions help foster teamwork and provide learning opportunities. While remote work requires some adjustment, strong communication skills and proactive engagement will help you build relationships and contribute effectively to your team.

What is the difference between Remote Computer Science Fresher vs Remote Software Developer?

AspectRemote Computer Science FresherRemote Software Developer
QualificationsBachelor's in Computer Science or related fieldBachelor's or higher in Computer Science or Software Engineering
ExperienceEntry-level, little to no professional experienceTypically 1+ years of coding and development experience
Work EnvironmentRemote, often internship or trainee rolesRemote or hybrid, full-time development roles
Industry UsageCommon for freshers entering tech companies or startupsCommon for companies seeking experienced developers

Remote Computer Science Freshers are usually recent graduates starting with entry-level roles, focusing on learning and skill development. Remote Software Developers generally have some experience and work on building and maintaining software projects. While both roles can be remote, the Software Developer role typically requires more technical expertise and experience.

What cities in Louisiana are hiring for Remote Computer Science Fresher jobs?

Cities in Louisiana with the most Remote Computer Science Fresher job openings:

Infographic showing various Remote Computer Science Fresher job openings in Louisiana as of August 2026, with employment types broken down into 4% Internship, 50% Full Time, 21% Part Time, and 25% Contract. Highlights an 100% Remote job distribution.

Senior Manager Data Science & AI

Bollinger Shipyards

Raceland, LA • Remote

Full-time

Posted 5 days ago


Bollinger Shipyards rating

6.5

Company rating: 6.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Job Title: Senior Manager Data Science & AI

Location: Remote USA

Position Overview: The Senior Manager, Data Science & AI is responsible for establishing and scaling enterprise artificial intelligence, machine learning, and advanced analytics capabilities across Bollinger Shipyards. This role leads the identification, prioritization, development, and operationalization of AI solutions that improve forecasting, bidding, operational efficiency, planning, and decision-making.

The role partners closely with business leaders, Data Engineering, Analytics, and Enterprise Architecture to ensure AI initiatives are aligned to strategic priorities and successfully integrated into enterprise operations.

Key Responsibilities:

  • ·         Define and execute the enterprise roadmap for AI, machine learning, and advanced analytics initiatives
  • ·         Identify and prioritize high-value AI and predictive analytics use cases aligned to operational and strategic objectives
  • ·         Lead development of models supporting forecasting, cost estimation, scheduling, bidding optimization, operational efficiency, and intelligent automation
  • ·         Establish standards and governance for model development, validation, deployment, monitoring, and lifecycle management
  • ·         Ensure AI and ML solutions are integrated into enterprise workflows and production systems
  • ·         Partner with Data Engineering teams to ensure availability of scalable, high-quality datasets for model development
  • ·         Collaborate with business leaders to drive adoption and measurable business value from AI capabilities
  • ·         Evaluate emerging AI technologies, platforms, and opportunities relevant to Bollinger’s operational environment
  • ·         Lead and develop data science and ML engineering resources
  • ·         Ensure responsible, secure, and compliant use of AI technologies and enterprise data
  • ·         Establish KPIs and performance measures for AI initiatives and operational impact

Qualifications:

•           Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related field

•           8+ years of experience in data science, AI, machine learning, or advanced analytics roles

•           3+ years of leadership experience

•           Proven experience leading enterprise AI and ML initiatives from concept through operational deployment

•           Strong background in statistical modeling, machine learning, predictive analytics, and optimization techniques

•           Experience working with large and complex enterprise datasets

•           Experience leading technical teams and enterprise-scale initiatives

Skills and Abilities:

•           Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments

•           Experience with Azure AI, ML Ops, cloud AI platforms, and modern AI frameworks

•           Familiarity with Generative AI, intelligent automation, and agent-based AI applications

•           Experience operationalizing AI solutions within ERP or operational systems

•           Knowledge of AI governance, model risk management, and responsible AI practices

Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.

Employment Type: FULL_TIME

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