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Remote Data Scientist Intern Jobs in Michigan (NOW HIRING)

Cisive

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

... Data Science, Information Systems, or a related field. * (Required) Strong SQL skills and ... Flexible/remote work options.

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

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Remote Data Scientist Intern information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do remote data scientist intern jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data scientist intern in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What is a remote data scientist intern?

A Remote Data Scientist Intern is a temporary, entry-level role where you assist in data analysis, machine learning, and statistical modeling while working remotely. You’ll clean and process data, build predictive models, and generate insights to support business decisions. Interns typically use programming languages like Python or R, along with tools like SQL and cloud platforms. This role provides hands-on experience in data science while offering flexibility to work from anywhere.

What types of projects or tasks can I expect as a remote data scientist intern?

As a Remote Data Scientist Intern, you can typically expect to work on real-world data analysis projects, such as cleaning and organizing datasets, building predictive models, and creating visualizations to support business decisions. You may also assist with research, exploratory data analysis, and automating routine data processing tasks using programming tools. Collaboration is usually done through virtual meetings, code repositories, and project management platforms, where you'll interact with data scientists, engineers, and business stakeholders. This hands-on experience helps build both your technical and communication skills within a remote, team-oriented environment.

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

To thrive as a Remote Data Scientist Intern, you need foundational knowledge in statistics, data analysis, and programming languages such as Python or R, often gained through coursework or relevant projects. Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow), version control systems like Git, and data visualization tools such as Tableau or matplotlib is highly valued. Strong communication, self-motivation, and time management are essential soft skills, especially when working remotely. These skills help interns efficiently analyze data, contribute to team projects, and adapt to the collaborative, fast-paced nature of remote data science work.

What are the most commonly searched types of Remote Data Scientist jobs in Michigan? The most popular types of Remote Data Scientist jobs in Michigan are:
What are popular job titles related to Remote Data Scientist Intern jobs in Michigan? For Remote Data Scientist Intern jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Intern jobs in Michigan look for? The top searched job categories for Remote Data Scientist Intern jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Scientist Intern jobs? Cities in Michigan with the most Remote Data Scientist Intern job openings:
Remote Data Scientist Intern jobs near you
Infographic showing various Remote Data Scientist Intern job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.

Data Engineer

Cisive

Wyoming, MI • On-site, Remote

$103K - $124K/yr

Full-time

Re-posted 4 days ago

Cisive rating

8.3

Company rating: 8.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

76th of 482 rated business services

Job description

It\'s fun to work in a company where people truly BELIEVE in what they\'re doing!
We\'re committed to bringing passion and customer focus to the business.

At Cisive, our vision is to make securing the right talent effortless. We provide technology-first background screening, identity verification, and continuous monitoring solutions that help organizations hire and manage their workforce with confidence.

Our Values

·       Integrity First: We uphold the highest ethical standards in everything we do.

·       Innovate Fearlessly: We challenge the status quo, embrace emerging technologies, and continuously refine our solutions to stay ahead of industry needs.

·       Win Together: We break down barriers, share knowledge, and champion teamwork across departments, brands, and global offices to achieve our collective goals.

·       Customer Obsessed: We go beyond transactional interactions to become trusted partners in risk mitigation and workforce management.

·       Stay One Step Ahead: We proactively seek knowledge that helps us—and our clients—stay ahead of the curve.

Job Description:

Data Engineer (Microsoft Stack)

Join our collaborative Data and AI team, where every member\'s contributions are valued and visible. As a Data Engineer, you\'ll take on meaningful responsibilities that directly impact our projects and business at Cisive. This is an excellent opportunity for someone eager to work hands-on with Microsoft\'s cloud-native data technologies, develop new skills in modern data platforms, and be recognized for their achievements. You\'ll be supported by experienced professionals and have opportunities to showcase your work in cutting-edge cloud environments.

Responsibilities:

  • Collaborate with the Data and AI team to design and build data infrastructure, including ETL/ELT pipelines using Azure Data Factory.

  • Develop and maintain data models, cloud data warehouses, and data lakes using Azure SQL Server, and Azure SQL Database

  • Write and optimize T-SQL scripts, stored procedures, and functions for data transformation and integration.

  • Support data quality, governance, and security initiatives.

  • Participate in the full lifecycle of data projects, from requirements gathering to deployment and monitoring.

Qualifications:

  • (Required) 3+ years of data engineering experience, preferably with Microsoft data technologies.

  • (Required) Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.

  • (Required) Strong SQL skills and experience with Microsoft SQL Server.

  • (Required) Proficiency in modern coding practices, including Visual Studio Code, Git, and test frameworks (unit testing, regression testing, etc.).

  • (Required) Experience with Azure Data Factory, SSIS, and/or other Microsoft Azure data services.

  • (Required) Experience designing and implementing star schema data models.

  • (Nice to Have) Experience with Databricks and Python

  • Excellent problem-solving skills, attention to detail, and strong communication skills.

  • Ability to work effectively in a team environment and manage multiple tasks with minimal supervision.

What We Offer:

  • Hands-on experience with real-world data engineering projects using Microsoft’s data stack.

  • Mentorship and guidance from experienced data professionals.

  • Opportunities to take on significant responsibilities and make a tangible impact.

  • A collaborative and inclusive work environment.

  • Flexible/remote work options.

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