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Data Science Jobs in Lansing, MI (NOW HIRING)

Converys

Data Architect

East Lansing, MI · On-site

$105K - $143K/yr

Partner with business analysts, data scientists, actuaries, and analytics teams to support data needs. * Mentor SQL developers and analytics engineers transitioning into modern data engineering roles.

Auto-Owners Insurance

Data Specialist

Lansing, MI · On-site

Bachelor's degree in mathematics, statistics, actuarial science, data science, or related field is required. Course work with databases or in a programming language is required. * Successful ...

State of Michigan

Data Quality Assurance Intern

Lansing, MI · On-site

$15.25 - $20.25/hr

Public Health, Public Administration, Data Science, Environmental Health, or a related field Alternate Education and Experience Applicants must submit: Resume (Optional) Any relevant coursework or ...

Auto-Owners Insurance

Predictive Modeler

Lansing, MI · On-site

$55.50 - $72/hr

An understanding of statistical modeling or data science concepts, especially clustering, regression, and classification techniques. * Aptitude and willingness to learn new things * Strong ...

Auto-Owners Insurance Group

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

An understanding of statistical modeling or data science concepts, especially clustering, regression, and classification techniques. * Aptitude and willingness to learn new things * Strong ...

Auto-Owners Insurance Group

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

An understanding of statistical modeling or data science concepts, especially clustering, regression, and classification techniques. * Aptitude and willingness to learn new things * Strong ...

Stem Xpert

Data architect

Lansing, MI · On-site

$64.75 - $83.25/hr

... Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... Job Title: Data Architect Duration: 12+ Months Location: Lansing, MI Complete Description ...

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All JobsData Science JobsData Science Jobs in Lansing, MI

Data Science information

See Lansing, MI salary details

$38K

$124.5K

$199.3K

How much do data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data science in Lansing, MI is $124,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $137,900.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Lansing, MI?

The most popular types of Data Science jobs in Lansing, MI are:

What job categories do people searching Data Science jobs in Lansing, MI look for?

The top searched job categories for Data Science jobs in Lansing, MI are:

What cities near Lansing, MI are hiring for Data Science jobs?

Cities near Lansing, MI with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Lansing, MI as of September 2026, with employment types broken down into 2% Internship, 60% Full Time, 9% Part Time, and 29% Contract. Highlights an 87% In-person, 2% Hybrid, and 11% Remote job distribution, with an average salary of $124,490 per year, or $59.9 per hour.

Materials Informatics Scientist

Freudenberg

Howell, MI • On-site

Full-time

Posted 6 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.

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