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Summer Data Science Jobs in Michigan (NOW HIRING)

Kettering Co-op

Lansing, MI

$19.50 - $25.50/hr

If you are studying for Kettering's Master degree in Data Science, please clearly list if you'd be looking to co-op or only intern for a summer. * (Preferred) Professional experience building models ...

Kettering Co-op

Grand Rapids, MI

$18.50 - $24.25/hr

If you are studying for Kettering's Master degree in Data Science, please clearly list if you'd be looking to co-op or only intern for a summer. * (Preferred) Professional experience building models ...

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

If you are studying for Kettering's Master degree in Data Science, please clearly list if you'd be looking to co-op or only intern for a summer. * (Preferred) Professional experience building models ...

Product Manager (Dashboard)

Royal Oak, MI · On-site

$175K - $195K/yr

Named the #1 Restaurant POS by G2 (Summer 2026), based on ratings from real users * Rated the top ... You'll collaborate closely with Engineering, Design, Marketing, Data Science, and GTM teams to turn ...

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Summer Data Science information

Is 30 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or bootcamps, regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

What is the difference between Summer Data Science vs Summer Data Analyst?

AspectSummer Data ScienceSummer Data Analyst
Required CredentialsTypically requires coursework or degree in data science, statistics, or related fieldsOften requires degree or coursework in data analysis, statistics, or business analytics
Work EnvironmentCollaborates with data scientists, engineers, and product teams on complex data projectsWorks with business teams to interpret data, generate reports, and support decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for advanced data modelingCommon in marketing, retail, finance, and operations for data reporting and insights

Summer Data Science roles focus on developing predictive models and advanced analytics, often requiring stronger technical skills. Summer Data Analysts typically handle data reporting and visualization to support business decisions. Both roles are valuable in data-driven industries but differ in technical depth and project scope.

What are the key skills and qualifications needed to thrive as a Summer Data Science Intern, and why are they important?

To excel as a Summer Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or a degree in a quantitative field. Familiarity with tools such as SQL, Jupyter Notebooks, and data visualization platforms, as well as experience with machine learning libraries, is typically expected. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to contribute meaningful analyses, adapt quickly to new challenges, and add value to data-driven projects in a short timeframe.

What is a Summer Data Science internship?

A Summer Data Science internship is a temporary, often 8-12 week, position for students or recent graduates to gain hands-on experience in data science during the summer months. Interns typically work on real-world projects involving data collection, cleaning, analysis, and visualization, using tools like Python, R, and SQL. These internships provide valuable exposure to industry practices, mentorship from experienced data scientists, and opportunities to develop technical and analytical skills. They are commonly offered by tech companies, finance firms, healthcare organizations, and startups.

Can I get a data scientist job with no experience?

Entry-level data scientist positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior experience is preferred, candidates with strong analytical skills, relevant coursework, or certifications can sometimes qualify for internships or junior roles to gain practical experience.

What types of projects can I expect to work on as a Summer Data Science intern?

As a Summer Data Science intern, you can typically expect to work on real-world projects involving data cleaning, exploratory data analysis, and building predictive models under the supervision of experienced data scientists. You may be tasked with analyzing large datasets, visualizing findings, and contributing to presentations that inform business decisions. Collaboration is common, so you'll likely work closely with team members from engineering, analytics, and business units to refine project goals and deliver actionable insights. This hands-on experience is designed to help you develop technical skills while understanding how data science impacts organizational objectives.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and work at large tech companies or in high-cost-of-living areas. Senior roles, specialized expertise, and leadership positions are more likely to reach this salary level.
What are the most commonly searched types of Data Science jobs in Michigan? The most popular types of Data Science jobs in Michigan are:
What cities in Michigan are hiring for Summer Data Science jobs? Cities in Michigan with the most Summer Data Science job openings:

Data Science, Computer Science, and Mathematics and Statistics Faculty

Science Faculty Jobs

Grand Rapids, MI • On-site

Full-time

Re-posted 26 days ago


Job description

Job Description
Calvin University invites applications for up to three tenure-track faculty positions, one designated for the Data Science Programs, one for the Department of Computer Science, and one for the Department of Mathematics and Statistics. Each of these positions will begin August 2024. Candidates at all levels of experience will be considered. Successful data science candidates could join either the Department of Computer Science or the Department of Mathematics and Statistics, depending on their background and interests.
REQUIREMENTS
The university seeks applicants with vibrant Christian faith who are dedicated to integration of that faith with their field of study.
Ideal candidates will hold a PhD in data science, computer science, statistics, mathematics, or a related field. Candidates with a master's degree and five years of relevant experience will also be considered.
We are looking for candidates who can provide excellent instruction and have an active stream of relevant research and publication. Preference will be given to candidates with experience teaching using a variety of methods and instructional technology.
The university will prioritize candidates with broad interdisciplinary interests, demonstrated commitment to diversity, equity, and inclusion, ability to integrate questions of meaning, significance, and ethics into all course content, and deep commitment to engaging students beyond the classroom.
FACULTY RESPONSIBILITIES
Faculty loads are 24 semester hours per academic year, comprised of teaching and release time for research and other duties.
Faculty are expected to grow in Reformed Christian commitment, to pursue an active scholarly agenda, to teach effectively, and to serve the university, department, students, and the wider community. Candidates will be asked to affirm their commitment to the educational mission of Calvin University as a Christian liberal arts university in the Reformed tradition, affiliated with the Christian Reformed Church. (See Educating for Shalom and Faculty Expectations.) Calvin University provides numerous faculty development opportunities to foster growth in these commitments.
FACULTY RESOURCES
Calvin University stands at the forefront of Christian scholarship across disciplines. The University hosts a number of Centers and Institutes and provides other funding opportunities to support faculty teaching and research, including sabbaticals, grants, course releases, summer research stipends, travel funds, and student research opportunities.
ABOUT THE DEPARTMENTS
The Data Science Program is a joint effort of the Department of Computer Science and the Department of Mathematics and Statistics. The undergraduate major includes courses in programming, statistics, machine learning, visualization, ethics, and various electives. The program also includes two undergraduate minors, a new online MS program is being launched Fall 2023, and courses co-taught with the School of Business. For details about these programs, see the web pages for Data Science and for the new MS program. We seek faculty who are interested in shaping both the undergraduate and graduate programs.
The Department of Computer Science includes six tenure-track faculty members and a full-time systems engineer to support classes and research in the department. Computer Science especially seeks candidates in machine learning or programming languages, but candidates in all fields are encouraged to apply. The department offers a minor and two majors, including a BCS degree accredited by ABET. For details, see the web page for Computer Science.
The Department of Mathematics and Statistics includes ten tenure-track faculty in pure and applied mathematics, statistics, and mathematics education and offers majors in mathematics, statistics, and actuarial science. In addition, the department supports and advises secondary mathematics education students as they complete grades 5-9 and grades 7-12 certification programs. For additional information consult the Mathematics and Statistics web site. Applications in any area of mathematics or statistics are welcome; preference will be given to applicants with experience and interests that support the programs in statistics and actuarial science.
Together these departments feature supportive colleagues, excellent facilities, disciplined students, including many international students, support for women in STEM, and strong undergraduate majors. Faculty offices for the two departments are co-located, fostering collaboration and communication between the two departments.
ABOUT CALVIN UNIVERSITY
Calvin University is a top-ranked national university that equips students to think deeply, to act justly, and to live wholeheartedly as Christ's agents of renewal in the world. Approximately 3,000 Calvin students study the liberal arts and select from a broad range of majors and professional programs.
The university is located in Grand Rapids, Michigan, in a thriving metropolitan region of approximately one million people situated equidistant from Chicago and Detroit. Furthermore, the West Michigan region is ranked by Forbes as the #1 place to raise a family. For more information, please visit http://www.calvin.edu/go/facultyopenings.
Calvin is building a tradition of diversity and accessibility and welcomes applications from persons whose personal characteristics will further that commitment. Calvin does not discriminate in the employment of individuals on the basis of race, color, national or ethnic origin, disability, sex, or age. Calvin University is an educational agency of the Christian Reformed Church and, in compliance with Title VII and other applicable law, reserves the right to give preference in employment based upon religion.
TO APPLY
Complete the online application process and attach the following:
  • Letter of application that addresses the requirements and responsibilities of the position, including your interest in teaching and scholarship at a Reformed Christian University
  • Full curriculum vitae

Review of applications will begin immediately and will continue until the position is filled.
Questions can be sent to
  • Randall Pruim, department chair of the Mathematics and Statistics Department, rpruim@calvin.edu, or
  • Keith Vander Linden, department chair of the Computer Science Department, kvlinden@calvin.edu.

FAITH and EDUCATIONAL COMMITMENT
1. Commitment to the educational mission of Calvin as a Christian liberal arts university affiliated with the Christian Reformed Church.
2. A commitment to the Christian faith and to the integration of faith, learning, and student development.
DIVERSITY COMMITMENT
Demonstrated awareness and commitment to effectively establishing relationships and positive communication across multiple dimensions of diversity including, but not limited to, race, gender, physical limitations, class, or religious perspectives.
Skills Required
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More Details
Employment Type: Full Time Location: Grand Rapids , MI , United States Experience Required: Mid-Senior Level Date Published: 18 Sep 2023