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Bs Computer Science Jobs in Idaho (NOW HIRING)

... * BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field * 5+ years of relevant experience for Senior level consideration; significantly more ...

Staff Engineer, CE CAD

Boise, ID · On-site

$98K - $312K/yr

... * BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field * 5+ years of relevant experience for Senior level consideration; significantly more ...

Cloud Engineer

Idaho Falls, ID · On-site

$95K - $234K/yr

Level 3: Bachelor's Degree in computer science, software engineering, information technology or related field and at least 5 years of direct professional experience, or in lieu of education ...

New

Cloud Engineer

Idaho Falls, ID · On-site

$53.50 - $71.50/hr

Level 3: Bachelor's Degree in computer science, software engineering, information technology or related field and at least 5 years of direct professional experience, or in lieu of education ...

New

Master's/Bachelor'sdegree in Industrial Engineering, Operations Research, Computer Science, Data Science or other quantitative disciplines with strong emphasis on optimization, simulation, and ...

Showing results 41-60

Bs Computer Science information

See Idaho salary details

$53.2K

$78.2K

$92.2K

How much do bs computer science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for bs computer science in Idaho is $78,197.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $88,000.00 per year, depending on experience, location, and employer.

What is a BS in Computer Science?

A BS in Computer Science is a Bachelor of Science degree that focuses on the theoretical foundations and practical applications of computing and programming. Students learn about algorithms, data structures, software development, computer systems, and sometimes topics like artificial intelligence, cybersecurity, and databases. Graduates are prepared for careers in software engineering, IT, research, or for further study in graduate programs. The degree generally takes about four years to complete and combines coursework, projects, and sometimes internships to provide a comprehensive understanding of computer science.

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

To thrive as a Computer Science graduate, you need strong analytical thinking, programming proficiency, and a solid grasp of algorithms and data structures, typically supported by a bachelor's degree in computer science or a related field. Familiarity with coding languages (such as Python, Java, or C++), version control systems like Git, and knowledge of software development methodologies are highly valued. Effective problem-solving, teamwork, and communication skills help you excel in collaborative and dynamic tech environments. These capabilities enable you to design, develop, and maintain robust software solutions that meet real-world needs.

What types of entry-level roles are commonly available to graduates with a BS in Computer Science, and how can I identify which path aligns with my interests?

Graduates with a BS in Computer Science often find entry-level opportunities as software developers, QA engineers, data analysts, IT support specialists, or web developers. To determine which path best suits your interests, consider the subjects you enjoyed most during your studies, such as programming, databases, or networking, and look for roles that emphasize those skills. Internships, personal projects, and participation in coding communities can also provide valuable insight into various specializations, helping you make a more informed decision as you start your career.

What jobs do most Bs Computer Science majors get?

Most Bachelor of Science in Computer Science graduates find jobs as software developers, web developers, systems analysts, database administrators, and network administrators. These roles typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL. Many also pursue positions in cybersecurity, IT support, or data analysis depending on their interests and certifications.

What is the difference between Bs Computer Science vs Bs Information Technology?

AspectBs Computer ScienceBs Information Technology
Core FocusProgramming, algorithms, software development, theoretical foundationsIT infrastructure, network management, systems administration
CertificationsComputer Science-related certifications (e.g., Cisco, Microsoft)IT certifications (e.g., CompTIA, Cisco)
Work EnvironmentSoftware companies, tech startups, research labsCorporate IT departments, network operations centers
Industry UsageSoftware development, research, academiaIT support, network management, system administration

While both degrees prepare students for tech careers, Bs Computer Science emphasizes programming and software development, whereas Bs Information Technology focuses on managing and supporting IT systems and networks. Your choice depends on whether you prefer coding and software design or IT infrastructure management.

Are Bs Computer Science majors still in demand?

Bachelor's in Computer Science remains a highly in-demand degree, as software development, data analysis, cybersecurity, and IT roles continue to grow across various industries. Employers value skills in programming languages, problem-solving, and familiarity with tools like Python, Java, and cloud platforms, making graduates competitive in the job market.

What are the jobs after a bachelor of science in computer science?

A Bachelor of Science in Computer Science prepares graduates for roles such as software developer, systems analyst, database administrator, network administrator, cybersecurity analyst, and web developer. These positions typically require knowledge of programming languages, data structures, and computer systems, and may involve working in teams or independently in various industries.
What are popular job titles related to Bs Computer Science jobs in Idaho? For Bs Computer Science jobs in Idaho, the most frequently searched job titles are:
What cities in Idaho are hiring for Bs Computer Science jobs? Cities in Idaho with the most Bs Computer Science job openings:
Infographic showing various Bs Computer Science job openings in Idaho as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $78,197 per year, or $37.6 per hour.

US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

Deloitte

Boise, ID

Full-time

Re-posted 13 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting for this role ends on August 10th 2026.

Work you'll do

As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for

  • Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
  • Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
  • Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
  • Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
  • Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
  • 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
  • 3+ years of experience developing solutions using Python
  • 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
  • Experience developing generative artificial intelligence or large language model solutions
  • Experience with machine learning operations tooling and model deployment frameworks
  • Experience building application programming interfaces or production data products
  • Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
  • Experience with data visualization tools such as Tableau or Power BI

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting for this role ends on August 10th 2026.

Work you'll do

As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for

  • Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
  • Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
  • Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
  • Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
  • Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
  • 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
  • 3+ years of experience developing solutions using Python
  • 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
  • Experience developing generative artificial intelligence or large language model solutions
  • Experience with machine learning operations tooling and model deployment frameworks
  • Experience building application programming interfaces or production data products
  • Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
  • Experience with data visualization tools such as Tableau or Power BI

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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