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Computer Scientist Jobs in Bloomington, MN (NOW HIRING)

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field. Preferred Qualifications: * Generative AI & Enterprise LLMs: Hands ...

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field. Preferred Qualifications: * Generative AI & Enterprise LLMs: Hands ...

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field. Preferred Qualifications: * Generative AI & Enterprise LLMs: Hands ...

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field. Preferred Qualifications: * Generative AI & Enterprise LLMs: Hands ...

Data Scientist I

Arden Hills, MN · On-site

$80 - $100/hr

Data Scientist 1We will consider qualified applicants of all ages who are starting (or restarting ... Bachelors degree in Computer ScienceMinimum 1 years experience with PythonMust be eligible to work ...

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field. Preferred Qualifications: * Generative AI & Enterprise LLMs: Hands ...

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field required. Other: * Must be able to travel occasionally should a business need arise. For ...

Bachelor's degree in Applied Statistics, Mathematics, Data Science, Computer Science, or a related field. * Minimum of 2 years of professional experience in a predictive analytics-focused role ...

Showing results 41-60

Computer Scientist information

See Bloomington, MN salary details

$50.7K

$111.9K

$138.2K

How much do computer scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for computer scientist in Bloomington, MN is $111,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $137,700.00 per year, depending on experience, location, and employer.

What is a computer scientist?

Computer scientists are professionals who study the theory, design, development, and application of computer systems and software. They work on solving complex problems using algorithms, programming languages, and computational methods. Their work can range from developing new technologies, improving cybersecurity, creating software, to researching artificial intelligence and machine learning. Computer scientists are employed in various industries, including tech companies, research institutions, government agencies, and academia.

What are the key skills and qualifications needed to thrive as a computer scientist, and why are they important?

To thrive as a Computer Scientist, you need a strong background in mathematics, programming, and algorithm design, usually supported by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, C++), development tools, and version control systems is typically required, along with knowledge of specialized software or frameworks relevant to your area. Analytical thinking, problem-solving, and effective communication are crucial soft skills that help you collaborate and present complex ideas clearly. These skills and qualifications are important for developing innovative solutions, advancing technology, and working efficiently in multidisciplinary teams.

What does a computer scientist do?

Computer scientists solve problems using technology. They write and program software, create applications for mobile devices, and develop websites. Their primary objectives are to validate and to develop mathematical models capable of computer interaction between people and other computers. They do this by running computer programs and improving computer processes and performance. Beyond working within theoretical frameworks, computer scientists can also research and focus in areas such as data structure and algorithms, information and database theory, software engineering, numerical analysis, computational complexity theory, computer graphics, programming language theory, and computer vision.

How do computer scientists typically collaborate with other departments within an organization?

Computer scientists often work closely with teams from engineering, product management, data analytics, and IT to design, implement, and optimize technological solutions. Collaboration may involve participating in cross-functional meetings, providing technical expertise to inform business decisions, and integrating software systems with other platforms. Effective communication and teamwork are key, as computer scientists must translate complex technical concepts into actionable insights for non-technical colleagues. This collaborative environment not only broadens your professional network but also enhances your problem-solving skills through exposure to diverse perspectives.

What is the difference between Computer Scientist vs Software Engineer?

AspectComputer ScientistSoftware Engineer
Required CredentialsBachelor's or higher in CS or related field; often advanced degreesBachelor's or higher in CS, Software Engineering, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, software development firms, IT departments
Employer & Industry UsageUniversities, research institutions, tech companiesSoftware development companies, startups, large corporations
Common Search & Comparison IntentUnderstanding roles, career paths, and skillsJob requirements, responsibilities, and career growth

Computer Scientists focus on theoretical foundations, algorithms, and research, often working in academia or R&D. Software Engineers design, develop, and maintain software applications in industry settings. While both roles require strong programming skills and a background in computer science, their work environments and primary objectives differ.

What are 5 careers in computer scientist?

A computer scientist can pursue careers such as software developer, data analyst, systems analyst, cybersecurity analyst, and machine learning engineer. These roles often require programming skills, knowledge of algorithms, and familiarity with tools like Python, Java, or SQL. Many positions also benefit from relevant certifications and a strong understanding of computer systems and data structures.

What job categories do people searching Computer Scientist jobs in Bloomington, MN look for?

The top searched job categories for Computer Scientist jobs in Bloomington, MN are:

What cities near Bloomington, MN are hiring for Computer Scientist jobs?

Cities near Bloomington, MN with the most Computer Scientist job openings:

Infographic showing various Computer Scientist job openings in Bloomington, MN as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $111,881 per year, or $53.8 per hour.

Senior Data Scientist Engineer - SFL Scientific

Deloitte

Minneapolis, MN • On-site

Full-time

Re-posted 18 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services


Job description

Job Summary:
Deloitte is a leading consulting firm that provides strategic and transactional services to clients. They are seeking a Senior Data Scientist to collaborate with clients on designing and developing innovative data science projects and solutions, focusing on AI and machine learning applications.
Responsibilities:
• Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
• Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
• Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
• Validate AI models and algorithm via code reviews, unit, and integration tests
• Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
• Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives
Qualifications:
Required:
• Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
• 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
• 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
• 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
• 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• 2+ years of experience working in a client-facing, consulting environment
• 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
• 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
• 1+ year of experience with AWS Sagemaker or AWS ML Studio
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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