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Computer Science Statistics Jobs in Minnesota (NOW HIRING)

Data Scientist

Minneapolis, MN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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

Minneapolis, MN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Principal Data Engineer - Remote

Eagan, MN ยท On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field, or equivalent experience High School Diploma or GED required 8+ years of experience in Data Engineering ...

Data Scientist

Minneapolis, MN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 (Applied AI)

Minneapolis, MN ยท On-site

$80K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's or PhD in Computer Science, Statistics, Mathematics, or Physics * 2-3 years of experience in data solutions and applying data techniques. * Strong knowledge of design, development, and ...

Data Scientist (Applied AI)

Minneapolis, MN

$80K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's or PhD in Computer Science, Statistics, Mathematics, or Physics * 2-3 years of experience in data solutions and applying data techniques. * Strong knowledge of design, development, and ...

Data Scientist II

Minneapolis, MN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

New

AP Statistics Tutor

Minneapolis, MN ยท Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

AP Statistics Tutor

Edina, MN ยท Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

AP Statistics Tutor

Saint Paul, MN ยท Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

Principal Data Science Analyst

Rochester, MN ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

... computer science, health science, or other analytical/quantitative field and a minimum of three years of professional or research experience in data science and statistical/machine learning packages.

Data Science Analyst

Rochester, MN ยท On-site

$102K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Candidate has expertise in AI, machine learning, deep learning, statistical data processing ... Qualifications A Bachelor's degree in a relevant field such as engineering, mathematics, computer ...

Showing results 21-40

Computer Science Statistics information

Do computer science statisticians make a lot of money?

Computer science statisticians typically earn competitive salaries, especially with advanced skills in data analysis, programming, and statistical software. Salaries vary based on experience, education, and location, but the field generally offers strong earning potential compared to many other roles in technology and data science.

What is a computer science statistics?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What jobs do most computer science statistics majors get?

Computer science statistics majors often find employment as data analysts, data scientists, machine learning engineers, and software developers. These roles typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools. Many positions are available in technology, finance, healthcare, and consulting industries.

Is statistics useful in computer science?

Statistics is highly useful in computer science, especially for data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills in many computer science roles.

What do computer science statistics professionals do?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What skills and qualifications are needed for computer science statistics?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

What are popular job titles related to Computer Science Statistics jobs in Minnesota?

For Computer Science Statistics jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Computer Science Statistics jobs?

Cities in Minnesota with the most Computer Science Statistics job openings:

Infographic showing various Computer Science Statistics job openings in Minnesota as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Data Scientist

System One

Minneapolis, MN โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago


Job description

Job Title: Data Scientist Location: Minneapolis, MN Job Summary: System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models. In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our enterprise products and systems. Responsibilities

  • Design, train, and validate traditional predictive and analytical machine learning models (regression, classification, decision trees, time-series, and neural networks).
  • Write scalable, production-grade Python code to wrap models into microservices and expose them via RESTful APIs for real-time inference.
  • Build and maintain automated data preprocessing, feature engineering, and model evaluation pipelines using CI/CD and MLOps best practices.
  • Track model performance, data drift, and latency in production, ensuring reliability and accuracy over time.
  • Collaborate directly with executive leadership, product directors, and enterprise architects to define the AI/ML product roadmap.
Requirements
  • 5-7+ years of progressive professional experience designing, shipping, and maintaining complex ML/AI solutions in enterprise production environments.
  • Experience building and deploying machine learning models in a production environment.
  • Strong practical experience with core ML algorithms (scikit-learn, XGBoost, LightGBM, statsmodels, PyTorch, or TensorFlow).
  • Demonstrated capability in writing clean, PEP 8-compliant, modular, and object-oriented Python code (beyond Jupyter notebooks).
  • Experience using automated testing frameworks (pytest, unittest) and writing unit/integration tests.
  • Hands-on experience developing RESTful APIs using frameworks like FastAPI or Flask.
  • Familiarity with containerization technologies (Docker) and version control workflows (Git, GitHub Actions, or GitLab CI/CD).
  • Advanced SQL proficiency and experience querying structured and unstructured datasets.
  • 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-on experience developing, fine-tuning (LoRA/QLoRA), or deploying proprietary Large Language Models (LLMs), agentic frameworks, custom embeddings, or enterprise RAG systems.
  • Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama).
  • Demonstrated leadership in mentoring teams and defining enterprise data and AI governance policies.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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Ref: #431-IT Tampa