ZipRecruiter

Log In

1

Intern Data Scientist Machine Learning Jobs in Minnesota

On-Demand Group

Sr. Data Scientist

Minneapolis, MN · On-site

Evaluate and recommend appropriate machine learning algorithms and modeling techniques * Monitor ... Mentor junior and mid-level Data Scientists through technical guidance, code reviews, and ...

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 ...

System One

Data Scientist

Minneapolis, MN · On-site

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 ...

System One

Data Scientist

Minneapolis, MN · On-site

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 ...

System One

Data Scientist

Minneapolis, MN · On-site

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 ...

System One

Data Scientist

Minneapolis, MN · On-site

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 ...

System One

Data Scientist

Minneapolis, MN · On-site

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 ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

The Data Scientist will apply knowledge of statistics, machine learning, programming, and data modeling. They use a flexible, analytical approach to design, develop, and evaluate predictive models ...

Dlapiper

Data Scientist

Minneapolis, MN · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

next page

Showing results 1-20

All JobsIntern Data Scientist Machine Learning JobsIntern Data Scientist Machine Learning Jobs in Minnesota

Intern Data Scientist Machine Learning information

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

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

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

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

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

What are popular job titles related to Intern Data Scientist Machine Learning jobs in Minnesota?

For Intern Data Scientist Machine Learning jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Intern Data Scientist Machine Learning jobs in Minnesota look for?

The top searched job categories for Intern Data Scientist Machine Learning jobs in Minnesota are:

Intern Data Scientist Machine Learning jobs near you

Sr. Data Scientist

On-Demand Group

Minneapolis, MN • On-site

Other

Posted 12 days ago

Job description

About the Role

We are seeking an experienced Senior Data Scientist to join a collaborative, fast-paced data science team focused on delivering measurable business value through machine learning. This is a hands-on technical role for someone who enjoys solving complex business problems, mentoring teammates, and driving continuous improvement across an established portfolio of production models.

Unlike organizations focused primarily on research or greenfield development, our team spends the majority of its time optimizing, enhancing, and scaling existing machine learning solutions. You''''''''ll partner closely with data engineers, business stakeholders, and fellow data scientists to improve model performance, identify new opportunities, and help shape the future direction of our data science practice.

The team operates in an agile, CI/CD environment with bi-weekly releases, making collaboration, iterative delivery, and continuous improvement essential to success.

Key Responsibilities
  • Lead the enhancement, tuning, retraining, and optimization of production machine learning models
  • Design and implement advanced modeling solutions to solve complex business challenges
  • Evaluate and recommend appropriate machine learning algorithms and modeling techniques
  • Monitor model performance and identify opportunities to improve accuracy, scalability, and business impact
  • Partner closely with Data Engineers to support data pipelines, feature engineering, and model deployment
  • Build and maintain datasets using SQL and Python
  • Develop and maintain work within Jupyter Notebooks in a cloud-based environment
  • Lead model lifecycle activities, including testing, validation, deployment, and ongoing monitoring
  • Mentor junior and mid-level Data Scientists through technical guidance, code reviews, and collaborative problem solving
  • Partner with business stakeholders to translate business objectives into scalable analytical solutions
  • Communicate technical concepts, recommendations, and results clearly to both technical and executive audiences
  • Contribute to improving team standards, best practices, and machine learning processes
Required Qualifications
  • 5+ years of experience in Data Science, Machine Learning, or Applied Analytics
  • Expert-level proficiency with Python and SQL
  • Extensive experience working in Jupyter Notebooks, preferably in a cloud environment
  • Proven experience developing, deploying, monitoring, and maintaining production machine learning models
  • Strong understanding of:
    • Machine learning model selection and evaluation
    • Model monitoring, drift detection, and performance optimization
    • Development versus production environments
    • Data pipelines and feature engineering
    • Model lifecycle management
  • Experience leading or mentoring other Data Scientists
  • Strong problem-solving and analytical skills
  • Ability to work independently while collaborating effectively across cross-functional teams
  • Excellent verbal and written communication skills with both technical and non-technical audiences
Preferred Qualifications
  • Experience with Snowflake
  • Experience supporting customer-facing machine learning applications
  • Experience with personalization or recommendation engines
  • Experience with customer lifecycle modeling, including churn prediction, propensity modeling, customer lifetime value (CLV), and segmentation
  • Experience working in CI/CD and agile software development environments
  • Experience collaborating closely with Data Engineering, Product, and business stakeholders
  • Experience helping establish technical standards or best practices for Data Science teams
What We''''''''re Looking For
  • A hands-on technical leader who enjoys building alongside the team
  • A collaborative mentor who helps elevate those around them
  • A versatile Data Scientist with broad modeling experience across multiple problem domains rather than deep specialization in a single technique
  • Someone who takes ownership, drives outcomes, and proactively identifies opportunities for improvement
  • A practical, business-minded problem solver who balances technical excellence with delivering measurable value
  • Comfortable working in a fast-paced, iterative environment with frequent releases and changing priorities
  • A team player who enjoys wearing multiple hats and contributing wherever needed
Work Environment
  • Hybrid work environment with approximately three days per week onsite
  • Agile team operating in two-week sprints
  • Highly collaborative culture with close partnership between Data Science, Data Engineering, and business stakeholders
  • Continuous learning environment where contractors are treated as integral members of the team and encouraged to contribute ideas and influence technical direction

Apply