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Manager Data Analyst Machine Learning Jobs in Minnesota

Mayo Clinic

Senior Data Science Analyst - DLMP

Rochester, MN · On-site

$87K - $110K/yr

Candidate has advanced expertise in AI, machine learning, deep learning, statistical data ... Applies and modifies existing scripts or software applications to support data management, data ...

Tactile Medical

Data Analyst

New Brighton, MN · On-site

$61K - $86K/yr

Working knowledge of various analytic methods (i.e. data analysis, statistics, operations research and/or machine learning) with application to business problems Knowledge & Skills: * Excellent ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

Candidate has expertise in AI, machine learning, deep learning, statistical data processing ... Applies and modifies existing scripts or software applications to support data management, data ...

3M

Senior Manager - Data Engineering

Maplewood, MN · On-site

Senior Manager - Data Product Engineering Collaborate with Innovative 3Mers Around the World ... machine learning, intelligent agents, semantic models, self-service analytics, and real-time ...

3M

Senior Manager - Data Engineering

Saint Paul, MN · On-site

Senior Manager - Data Product Engineering Collaborate with Innovative 3Mers Around the World ... machine learning, intelligent agents, semantic models, self-service analytics, and real-time ...

3M

Senior Manager - Data Engineering

Maplewood, MN · On-site

Senior Manager - Data Product Engineering Collaborate with Innovative 3Mers Around the World ... machine learning, intelligent agents, semantic models, self-service analytics, and real-time ...

Instacart

Collaborate closely with product managers, data scientists, and backend engineers to deeply ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...

Instacart

Collaborate closely with product managers, data scientists, and backend engineers to deeply ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...

Instacart

Collaborate closely with product managers, data scientists, and backend engineers to deeply ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...

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Showing results 21-40

All JobsData Analyst Machine Learning JobsManager Data Analyst Machine Learning JobsManager Data Analyst Machine Learning Jobs in Minnesota

Manager Data Analyst Machine Learning information

What is the difference between Manager Data Analyst Machine Learning vs Data Scientist?

AspectManager Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related; experience in machine learningBachelor's/Master's/PhD in Data Science, Statistics, or related; strong programming skills
Work EnvironmentTeam leadership, project management, cross-department collaborationResearch, model development, data exploration
Employer & Industry UsageBusiness analytics, tech companies, finance, healthcareTech firms, research institutions, consulting

While both roles involve data analysis and machine learning, the Manager Data Analyst Machine Learning focuses on leading teams and managing projects, whereas Data Scientists primarily develop models and perform in-depth data research.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Minnesota?

The most popular types of Data Analyst Machine Learning jobs in Minnesota are:

Manager Data Analyst Machine Learning jobs near you

System Analyst Artificial Intelligence/Machine Learning

DANE LLC

Virginia, MN • On-site

$80 - $100/hr

Other

Posted yesterday

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Job description

Position Summary

DANE is seeking a highly motivated System Analyst to join the Data Management team. The ideal candidate will work closely with the Information and Business Analytics team, stakeholders and subject‑matter experts to build machine learning (ML) models, artificial intelligence (AI) solutions, configure data pipelines to integrate models with existing software and applications, and drive innovation in alignment with the organization’s AI initiatives. The candidate should have experience collecting stakeholder requirements, translating them into actionable plans, and developing data visualizations using tools such as Microsoft Power BI.

The ideal candidate will have a strong foundation in data science, proficiency in machine learning frameworks, data visualizing frameworks, and experience developing ML models and AI agents using Python. Familiarity with the Microsoft Azure environment is required.

Position Responsibilities
  • Design, build, and optimize machine learning models and configure data pipelines to source data from various business systems.
  • Collaborate with functional experts to understand requirements and translate them into technical solutions.
  • Develop and deploy models in production environments.
  • Monitor and maintain deployed models to ensure accuracy, performance, and reliability.
  • Work with datasets and cloud platforms to build efficient data pipelines.
  • Stay current with the latest research and trends in AI/ML and incorporate relevant findings into the development process.
  • Write clean, maintainable, and well‑documented code following software engineering best practices.
  • Participate in code reviews, design discussions, and team collaborations to improve overall software quality.
  • Develop and maintain reports based on stakeholders’ requirements using Power BI Paginated Reports Builder.
  • Support the development, maintenance, and enhancement of reports and dashboards across the organization.
  • Assist in the configuration and management of database/system connections.
  • Perform other related duties and activities as needed.
Required Skills
  • Bachelor’s degree in Data Science or a related field (Master’s degree preferred).
  • 2+ years of experience in AI/ML development, including model design, training, and deployment.
  • Proficiency in Python and experience with ML libraries such as Pandas, NumPy, NLTK, SciPy, Matplotlib, Seaborn, TensorFlow, PyTorch, JobLib, Jupyter Notebook, scikit‑learn, or similar.
  • Knowledge of Azure subscription, Azure Machine Learning workspace, and Azure App Services.
  • Experience with GitHub for code version control.
  • Experience with databases such as MySQL, PostgreSQL, etc.
  • Knowledge of RESTful APIs and microservices architecture.
  • Familiarity with server‑side security best practices and implementation.
  • Excellent problem‑solving skills and ability to work in a collaborative, fast‑paced environment.
  • Strong communication skills and the ability to translate complex concepts into clear solutions.
Physical Demands and Work Environment
  • The work is mostly sedentary with periods of light physical activity. Workers may need to stand for short periods, lift and carry up to 20 pounds, climb stairs, bend, reach, hold, grasp, and turn objects, and operate a computer.
  • Primary work is performed indoors in a standard office setting with moderate noise levels and frequent interruptions.
Benefits

Flexible work from home options available.

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