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Live In Nhl Data Science Jobs in Minnesota (NOW HIRING)

System One

Data Scientist

Minneapolis, MN · On-site

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 ...

Resourcex,Inc.

Data Science Training

Saint Paul, MN

Our continuous efforts and expertise, support us in expanding and developing our services that help ... We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for ...

Daikin-Applied

Data Scientist III

Plymouth, MN · On-site

$90 - $153.30/hr

Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field5+ years (or 3+ years with a masters) of professional experience in analytics ...

Jobtailor

Senior Data Scientist

Minneapolis, MN · On-site

$120 - $180/hr

Expertise in data science, machine learning, data mining, operations research, and statistical modeling techniques, specifically for high-volume and complex datasets. * Knowledge of best coding ...

New

Daikin Applied

Data Scientist III

Plymouth, MN · On-site

Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field * 5+ years (or 3+ years with a masters) of professional experience in analytics ...

Daikinapplied

Data Scientist III

Minneapolis, MN

$90K - $153K/yr

Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field * 5+ years (or 3+ years with a masters) of professional experience in analytics ...

Polaris, Inc.

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics ... in which they live, play and work. Employees at Polaris drive our success and are rewarded for ...

Polaris, Inc.

Product Manager (Data Science)

Medina, MN · On-site

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics ... in which they live, play and work. Employees at Polaris drive our success and are rewarded for ...

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All JobsLive In Nhl Data Science JobsLive In Nhl Data Science Jobs in Minnesota

Live In Nhl Data Science information

What is the difference between Live In Nhl Data Science vs Live In Nhl Data Analysis?

AspectLive In Nhl Data ScienceLive In Nhl Data Analysis
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often in tech or sports analytics companiesOperational settings, sports teams, or media outlets focusing on game insights
Employer & Industry UsageTech firms, sports analytics companies, NHL organizationsSports teams, media outlets, NHL organizations

Live In Nhl Data Science involves advanced analytics, machine learning, and predictive modeling to analyze NHL data, while Live In Nhl Data Analysis focuses on interpreting data for insights, reporting, and decision-making. Both roles require familiarity with NHL data but differ in technical complexity and scope.

What are the most commonly searched types of Nhl Data Science jobs in Minnesota? The most popular types of Nhl Data Science jobs in Minnesota are:
Live In Nhl Data Science jobs near you

Data Scientist

System One

Minneapolis, MN • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 17 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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