ZipRecruiter

Log In

1

Computational Data Science Jobs in Michigan (NOW HIRING)

Freudenberg

Materials Informatics Scientist

Plymouth, MI · On-site

... data science, computer science, physics, mechanical engineering, or a related field. * Minimum 3+ years of experience in computational methods for material and product design, either in industry or ...

Freudenberg

Materials Informatics Scientist

Howell, MI · On-site

... data science, computer science, physics, mechanical engineering, or a related field. * Minimum 3+ years of experience in computational methods for material and product design, either in industry or ...

Varsity Tutors

AP Computer Science A Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data ... Emphasizes developing computational thinking and problem decomposition skills while connecting ...

Varsity Tutors

AP Computer Science A Tutor

Detroit, MI · Remote

$18 - $40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data ... Emphasizes developing computational thinking and problem decomposition skills while connecting ...

previous pagenext page

Showing results 21-40

All JobsComputational Data Science JobsComputational Data Science Jobs in Michigan

Computational Data Science information

See Michigan salary details

$14

$49

$71

How much do computational data science jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for computational data science in Michigan is $49.52, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $58.65 per hour, depending on experience, location, and employer.

What is computational data science?

Computational Data Science is an interdisciplinary field that combines computer science, statistics, and domain knowledge to extract insights and knowledge from complex data sets using computational techniques. Professionals in this field use algorithms, machine learning, and advanced analytics to solve real-world problems by processing and interpreting large volumes of data. The work often involves programming, data modeling, and visualization, making it crucial in industries such as healthcare, finance, and technology. Computational Data Scientists help organizations make data-driven decisions and innovate through predictive modeling and data analysis.

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

To thrive as a Computational Data Scientist, you need a strong background in mathematics, statistics, programming (especially Python or R), and data analysis, often supported by a relevant degree in computer science, statistics, or a related field. Proficiency with data manipulation tools (like Pandas, NumPy), machine learning frameworks (such as TensorFlow or Scikit-learn), and cloud computing platforms is highly valued, along with experience using data visualization tools. Critical thinking, problem-solving, communication, and collaboration skills make someone stand out in this role. These abilities are crucial for extracting actionable insights from complex data, building effective models, and communicating findings to drive informed business decisions.

What are some common challenges faced by computational data scientists when working on cross-functional teams?

Computational data scientists often collaborate closely with professionals from diverse backgrounds, such as software engineers, domain experts, and business stakeholders. One common challenge is translating complex technical findings into actionable insights for non-technical team members. Additionally, aligning project goals and expectations across disciplines can require extra communication and flexibility. Overcoming these challenges often involves developing strong interpersonal skills, proactively clarifying requirements, and fostering a collaborative team culture.

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

AspectComputational Data ScienceData Analyst
Required CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; often includes programming certificationsUsually requires a degree in Statistics, Business, or related fields; may include basic data analysis certifications
Work EnvironmentInvolves programming, modeling, and developing algorithms; often in tech or research settingsFocuses on interpreting data, creating reports, and supporting decision-making; in business or corporate environments
Employer & Industry UsageUsed in tech companies, research institutions, and industries requiring advanced modelingCommon in finance, marketing, healthcare, and business sectors

Computational Data Science involves advanced programming, algorithm development, and modeling, often in technical environments. Data Analysts focus on interpreting data, generating reports, and supporting business decisions. While both roles work with data, Computational Data Scientists typically require stronger programming skills and work on building models, whereas Data Analysts focus on data interpretation and visualization.

What are popular job titles related to Computational Data Science jobs in Michigan?

For Computational Data Science jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Computational Data Science jobs in Michigan look for?

The top searched job categories for Computational Data Science jobs in Michigan are:

Computational Data Science jobs near you
Infographic showing various Computational Data Science job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $102,997 per year, or $49.5 per hour.

Materials Informatics Scientist

Freudenberg

Plymouth, MI • On-site

Full-time

Posted 4 days ago

Job description

Working at Freudenberg: We will wow your world!

Responsibilities:
  • Leads activities in generative AI and physics-informed machine learning for product, formulation, material/process discovery and design.
  • Develop advanced data-driven and physics-based models to guide and accelerate the development of products, materials and processes for sustainable solutions and new mobility applications.
  • Analyze and interpret materials data using advanced statistical and data mining techniques.
  • Propose, execute and defend project concepts; collaborate and plan experimental campaigns for model development, validation and deployment with Freudenberg Business Groups.
  • Identify and prioritize promising materials candidates for further investigation and development.
  • Work with a diverse range of experts, both internal and external, for developing high business impact solutions.
  • Communicate results through reports and presentations to diverse audiences (both technical and non-technical), including C level.
  • Collaborate effectively with materials scientists, engineers, and other researchers across geographic locations.
  • Collaborates with industry or academic specialists to apply the results of research and develop new techniques.
Qualifications:
  • PhD or equivalent experience in materials science, chemistry, chemical engineering, data science, computer science, physics, mechanical engineering, or a related field.
  • Minimum 3+ years of experience in computational methods for material and product design, either in industry or academia.
  • Strong knowledge of materials science fundamentals, including structure-property relationships, materials characterization, and the principles governing material properties and behavior.
  • Experience with cheminformatics, materials informatics, Generative AI, ML tools for accelerating multiscale and multiphysics simulations.
  • Proficiency in programming languages like Python, Julia, C/C++, and familiarity with SQL, MySQL, MongoDB, Flask, Azure, or other cloud technologies.
  • Ability to work independently and as part of a team.
  • Strong communication and stakeholder engagement skills.
  • International outlook and willingness to travel as a plus.
  • Excellent analytical, problem/situation analysis, and critical thinking skills
  • Ability to manage multiple projects and meet deadlines in a fast-paced, globally matrixed environment.

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.

Chem-Trend Limited Partnership

Apply