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Intern Data Scientist Machine Learning Jobs in Minnesota

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 ...

Deloitte

Data Scientist

Minneapolis, MN

As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ... Develop and train machine learning models to solve problems such as prediction, classification, and ...

Accelint

Senior Data Scientist

Saint Paul, MN · On-site

$128K - $153K/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 ...

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Intern Data Scientist Machine Learning information

What types of projects and responsibilities can an Intern Data Scientist specializing in 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 does an Intern Data Scientist in 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 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.

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Intern Data Scientist Machine Learning jobs near you
Lead Applied Data Scientist - Digital Item RecSys (applied ML, deep learning)

Lead Applied Data Scientist - Digital Item RecSys (applied ML, deep learning)

Target Brands, Inc.

Brooklyn Park, MN • On-site

$132K - $286K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,832 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers

Job description

The pay range is $132,000.00 - $286,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A LEAD DATA SCIENTIST - DIGITAL ITEM RECOMMENDATIONS (RECSYS)
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Applied Data Sciences or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Digital Marketing, Supply Chain Optimization, Advanced AI, Search and Personalization rely on.
As a Lead Data Scientist - Recommendations, you will provide technical leadership for the machine learning systems that power Target's digital recommendations and personalization experiences. Working closely with data scientists, engineers, product managers, and business stakeholders, you will identify opportunities to improve guest experiences through recommendation, retrieval, ranking, and personalization solutions at massive scale.
You will lead the design, development, evaluation, and deployment of machine learning models that influence how millions of guests discover products across Target's digital experiences. Leveraging expertise in machine learning, deep learning, experimentation, and optimization, you will translate ambiguous business challenges into scalable algorithmic solutions that drive measurable guest and business impact. You will be responsible for driving projects from initial problem definition through production deployment and measurement, balancing innovation with operational excellence and long-term maintainability. You will help shape the technical direction of Target's recommendation capabilities, establishing best practices for model development, evaluation, and measurement while influencing decisions across product, engineering, and data science teams.
Beyond delivering solutions, you will mentor and develop other scientists, help raise the technical bar across the organization, and contribute to the growth of Target's data science community through collaboration, thought leadership, and the adoption of emerging machine learning techniques and technologies.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About you:
  • MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research or relevant industry experience
  • 5 plus years of experience leading the development, evaluation and deployment of machine learning (ML) solutions while partnering with engineering teams to deliver scalable production systems
  • Demonstrated experience building and scaling recommendation, personalization, ranking, retrieval, or search machine learning systems
  • Strong programming skills in Python and SQL; experience with deep learning frameworks such as PyTorch or JAX
  • Experience leveraging modern AI and Generative AI tools to accelerate development, experimentation and model delivery
  • Experience working with large-scale data processing and analytics platforms such as Spark or equivalent
  • Deep understanding of machine learning, deep learning, optimization, statistics, probability and experimental design
  • Experience designing, analyzing, and interpreting online experiments and using results to inform product and business decisions
  • Demonstrated ability to translate ambiguous business challenges into scalable machine learning solutions
  • Ability to influence technical direction and drive alignment across product, engineering and business stakeholders
  • Excellent communication skills with the ability to clearly communicate complex technical concepts to both technical and non-technical audiences
  • Ability to mentor applied data scientist and help establish best practices for AI/ML and cloud-native development
  • Self-driven, results-oriented and able to meet tight deadlines
  • Motivated team player who thrives in a collaborative and global environment

This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs. A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year. A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 07/09/2026

What Target employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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