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Entry Level Ai Computer Science Jobs in Minnesota

Varsity Tutors

Computer Programming Tutor

Edina, MN · Remote

$18 - $40/hr

What We Look For In a Computer Programming Tutor * Advanced Subject Mastery: Deep knowledge of ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Mortenson

AI Engineer

Minneapolis, MN

Bachelor's or Master's in Computer Science, Data Science, Engineering or related field. * 2+ years in experience in AI/ML engineering or applied data science * Prior work in construction ...

M. A. Mortenson Company

AI Engineer

Minneapolis, MN · On-site

Bachelor's or Master's in Computer Science, Data Science, Engineering or related field. * 2+ years in experience in AI/ML engineering or applied data science * Prior work in construction ...

IWCO Direct

Data Science Operations Analyst

Chanhassen, MN · On-site

$90K - $95K/yr

... Computer Science. or a related field (or equivalent experience) • Experience with Business Intelligence tools such as Tableau or Power BI • Familiarity with AI tools and applications in data ...

Genesis10

Entry Level Software Developer

Minneapolis, MN · On-site

$60K/yr

Genesis10 is seeking an Entry Level Software Developer to join their team. This role provides a ... A recent STEM degree (e.g., Computer Science, Information Technology, Engineering, or a related ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

This role will involve applying AI/ML techniques to read and process technical data to include CAD ... Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related ...

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All JobsAi Computer Science JobsEntry Level Ai Computer Science JobsEntry Level Ai Computer Science Jobs in Minnesota

Entry Level Ai Computer Science information

What are entry level AI computer science jobs?

Entry level AI computer science jobs are positions designed for recent graduates or individuals with limited professional experience in artificial intelligence and computer science. These roles typically involve tasks such as data preprocessing, model training, testing algorithms, software development, and supporting senior engineers or researchers. Common job titles include AI Engineer, Machine Learning Engineer, Data Scientist, and AI Research Assistant. Entry level positions often require familiarity with programming languages like Python, basic knowledge of machine learning concepts, and experience working with data. These jobs provide an opportunity to build foundational skills and gain exposure to real-world AI applications.

What is the difference between Entry Level Ai Computer Science vs Data Analyst?

AspectEntry Level Ai Computer ScienceData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, research labs, startups; focus on AI models and algorithmsBusiness, finance, healthcare; focus on interpreting data and generating reports
Employer & Industry UsageTech firms, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonEntry Level Ai Computer Science vs Data Analyst

Entry Level Ai Computer Science roles focus on developing AI models and algorithms, requiring programming and machine learning knowledge. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and reporting. While both roles work with data, AI roles are more technical and development-oriented, whereas Data Analysts focus on data interpretation and visualization.

Is AI taking entry-level computer science jobs?

Entry-level AI and computer science roles are growing as demand for AI skills, programming, and data analysis increases. However, these jobs typically require foundational knowledge in programming languages like Python, machine learning frameworks, and problem-solving skills, making them accessible to recent graduates with relevant training. Competition exists, but acquiring practical experience and certifications can improve job prospects.

What are the key skills and qualifications needed to thrive as an Entry Level AI Computer Scientist, and why are they important?

To thrive as an Entry Level AI Computer Scientist, you need a solid understanding of programming (especially Python), algorithms, and foundational knowledge in machine learning, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and knowledge of version control systems like Git are commonly expected. Strong problem-solving skills, a collaborative mindset, and eagerness to learn make a candidate stand out in this rapidly evolving field. These skills are crucial for effectively building, testing, and deploying AI models while adapting to emerging technologies and team-driven projects.

What are good entry-level AI jobs?

Entry-level AI jobs include roles such as AI analyst, machine learning technician, data analyst, and research assistant, often requiring knowledge of programming languages like Python and familiarity with machine learning frameworks. These positions typically involve supporting AI development, data preprocessing, and model testing, and may require a bachelor's degree in computer science or related fields. Internships and apprenticeships in AI are also valuable starting points for gaining practical experience.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI executive, often requiring advanced skills, extensive experience, and sometimes ownership of significant projects. These roles usually involve leadership, strategic planning, and expertise in tools like deep learning frameworks and data analysis. Compensation at this level reflects the value of specialized knowledge and impact on business outcomes.

Can I get an AI job with no experience?

Entry-level AI jobs often require some foundational knowledge of programming, machine learning concepts, and relevant tools like Python or TensorFlow. While prior experience is beneficial, candidates can improve their chances by completing online courses, certifications, or personal projects to demonstrate their skills. Employers may also consider internships or apprenticeships for those new to the field.

What are some typical projects or tasks an entry-level AI computer science professional might work on during their first year?

In an entry-level AI computer science role, you are likely to assist with tasks such as data preprocessing, implementing basic machine learning algorithms, and supporting model evaluation efforts. You may also contribute to developing or maintaining codebases for AI applications, preparing datasets, or running experiments under the guidance of senior team members. Collaboration is common—you’ll often work with data scientists, software engineers, and product managers to support larger projects and gain exposure to the full AI development lifecycle. These experiences provide a solid foundation for advancing to more complex responsibilities over time.
What are the most commonly searched types of Ai Computer Science jobs in Minnesota? The most popular types of Ai Computer Science jobs in Minnesota are:
What are popular job titles related to Entry Level Ai Computer Science jobs in Minnesota? For Entry Level Ai Computer Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Computer Science jobs in Minnesota look for? The top searched job categories for Entry Level Ai Computer Science jobs in Minnesota are:
What cities in Minnesota are hiring for Entry Level Ai Computer Science jobs? Cities in Minnesota with the most Entry Level Ai Computer Science job openings:
Entry Level Ai Computer Science jobs near you
Supply Chain and AI Analyst

Supply Chain and AI Analyst

Advatix, Inc.

Minneapolis, MN • On-site

Full-time

Re-posted 2 days ago

Job description

Supply Chain and AI Innovation Analyst
Role Summary
Our client is looking for a Supply Chain and AI Innovation Analyst to join their rapidly growing organization. The Supply Chain and AI Innovation Analyst is responsible for designing, developing, and implementing analytics, automation, and AI solutions that improve operational efficiency, decision-making, and visibility across the brand. Reporting to the Executive Vice President of Customer Success and IT, this role works closely with IT, Sales, Operations, and Finance to analyze data, build Power BI dashboards, develop AI-powered tools, and improve system integrations.
Key Results Area
  • Build AI Tools and Automation
    • Design and deploy AI copilots and intelligent agents for sales, operations, and analytics teams
    • Identify manual workflows that can be automated and build the solution
    • Integrate AI capabilities with Salesforce, Power BI, TMS, WMS, and other platforms
    • Prototype new AI solutions and scale the ones that work
  • Deliver Analytics and Dashboards
    • Build and maintain Power BI dashboards that track operational KPIs and financial metrics
    • Analyze freight, routing, service level, and cost data to surface actionable insights
    • Partner with leadership to define and track the metrics that matter the most
    • Develop predictive models to improve planning and forecasting accuracy
  • Improve Systems and Data Pipelines
    • Enhance integration between Salesforce, TMS, WMS, and BI platforms
    • Build data pipelines that connect internal and third-party systems
    • Eliminate manual data-wrangling processes through smart automation
Skills & Qualifications
  • Bachelor's degree in business analytics, data science, computer science, supply chain, or a related field
  • Minimum of 1 year of experience in analytics, BI, automation, or AI development
  • Hands-on knowledge of Power BI, Tableau, or similar BI tools
  • Working knowledge of SQL or Python for data analysis
  • Experience building or implementing automation or AI-enabled solutions
  • Strong analytical mindset and attention to detail
  • Familiarity with transportation, logistics, or supply chain operations is preferred
  • Understanding of integrating AI or analytic tools with Salesforce or other CRM systems
  • Lean Six Sigma or Process Improvement experience

GCG® is one of the world's leading providers of business transformation solutions related to supply chain and technology solutions for order fulfillment and marketing execution. We are committed to an inclusive workplace that does not discriminate against race,nationality, religion, age, marital status, physical or mental disability, sexual orientation, gender, orgender identity. We believe in diversity and encourage any qualified individual to apply. We are an EEOCEmployer.

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