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Statistical Data Scientist Jobs in Minnesota (NOW HIRING)

System One

Data Scientist

Minneapolis, MN · On-site

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 ...

Daikin Applied

Data Scientist III

Plymouth, MN · On-site

Data Scientist III - Plymouth, MN - Onsite Daikin Applied is seeking a Data Scientist III who will ... Create machine learning (ML) models and statistical models to discover trends and detect anomalies ...

System One

Data Scientist

Minneapolis, MN · On-site

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 ...

System One

Data Scientist

Minneapolis, MN · On-site

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 ...

RELX

Data Scientist

Minneapolis, MN

$77K - $128K/yr

About the Role: We're seeking a Data Scientist to lead predictive modeling and statistical analysis across domains such as risk and fraud. The ideal candidate will bring strong expertise in data ...

Agiliti Health, Inc.

Data Scientist

Minneapolis, MN · On-site

$93K - $150K/yr

Bachelor's or Master's degree in Data Science, Statistics, or a related discipline. * Proficiency in SQL and Python, including experience with libraries such as scikit-learn, TensorFlow, or PyTorch.

Agiliti Health, Inc

Data Scientist

Minneapolis, MN · On-site

$94 - $150/hr

Bachelor's or Master's degree in Data Science, Statistics, or a related discipline. * Proficiency in SQL and Python, including experience with libraries such as scikit-learn, TensorFlow, or PyTorch.

RELX Group plc

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

Apply statistical techniques to conduct analytic research, build statistical models and complete ... Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of ...

RELX

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

Apply statistical techniques to conduct analytic research, build statistical models and complete ... Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

Candidate has expertise in AI, machine learning, deep learning, statistical data processing ... scientist. Other responsibilities: • Provides data insights for business problems that can be ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

$102K - $143K/yr

Candidate has expertise in AI, machine learning, deep learning, statistical data processing ... scientist. Other responsibilities: Provides data insights for business problems that can be ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

Candidate has expertise in AI, machine learning, deep learning, statistical data processing ... scientist. Other responsibilities: Provides data insights for business problems that can be ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

Candidate has expertise in AI, machine learning, deep learning, statistical data processing ... scientist. Other responsibilities: Provides data insights for business problems that can be ...

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All JobsStatistical Data Scientist JobsStatistical Data Scientist Jobs in Minnesota

Statistical Data Scientist information

How does a statistical data scientist typically collaborate with cross-functional teams on data-driven projects?

Statistical Data Scientists often work closely with cross-functional teams, including engineers, business analysts, and domain experts, to translate complex data into actionable insights. They play a key role in designing experiments, developing statistical models, and ensuring data integrity. Effective communication is essential, as they must explain technical findings to non-technical stakeholders and adapt their analyses to support business objectives. Regular collaboration through meetings, code reviews, and presentations is common, making teamwork and adaptability vital skills in this role.

What are the key skills and qualifications needed to thrive as a statistical data scientist?

To thrive as a Statistical Data Scientist, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and experience using machine learning libraries and statistical software such as SAS or SPSS are highly valuable. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These competencies ensure that insights derived from data are accurate, actionable, and effectively inform business or research decisions.

What does a statistical data scientist do?

A Statistical Data Scientist uses statistical methods and computational tools to analyze large and complex datasets, uncover trends, and generate actionable insights for organizations. They design experiments, build predictive models, and interpret data to solve business problems or advance scientific research. Their work often involves cleaning and preparing data, choosing appropriate statistical techniques, and communicating findings to stakeholders through reports and visualizations.

What is the difference between Statistical Data Scientist vs Data Analyst?

AspectStatistical Data ScientistData Analyst
Required CredentialsDegree in Statistics, Data Science, or related field; proficiency in statistical programmingDegree in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentResearch-focused, developing models, advanced analyticsBusiness-focused, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, healthcare

Statistical Data Scientists focus on building complex models and advanced analytics, often requiring specialized statistical knowledge. Data Analysts primarily interpret data, create reports, and support decision-making with descriptive analytics. While both roles require strong analytical skills and familiarity with statistical tools, Statistical Data Scientists typically handle more complex modeling tasks and have a deeper focus on statistical theory.

What are popular job titles related to Statistical Data Scientist jobs in Minnesota? For Statistical Data Scientist jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Statistical Data Scientist jobs in Minnesota look for? The top searched job categories for Statistical Data Scientist jobs in Minnesota are:
Statistical Data Scientist jobs near you
Infographic showing various Statistical Data Scientist job openings in Minnesota as of August 2026, with employment types broken down into 79% Full Time, 14% Part Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Data Scientist

System One

Minneapolis, MN • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 19 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.

#M-1 #LI-SG1

Ref: #431-IT Tampa