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Data Science Jobs in Portland, MI (NOW HIRING)

Data Quality Assurance Intern

Lansing, MI ยท 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 ...

Predictive Modeler

Lansing, MI ยท Hybrid

$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 ...

Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific accuracy, relevance, and reliability. * Deliver ...

Kettering Co-op

Lansing, MI ยท 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 ...

Kettering Co-op

Lansing, MI

$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 ...

Data architect

Lansing, MI ยท 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 ...

Senior Data Analyst

Lansing, MI

$78K - $98K/yr

We are a team of scientists, engineers, technicians, and innovators dedicated to changing the world by developing medical isotopes to treat and eradicate cancer. We believe in building an environment ...

Student Assistant

Lansing, MI ยท On-site

$17.10 - $29.57/hr

This fellowship offers exposure to public-sector leadership, infrastructure policy, federal funding programs, and applied data science. HERE: Required Education and Experience Education Current ...

The VP will partner closely with Medical Directors, Product, Technology, Data Science, and Client Success teams to support program implementation, clinical workflow optimization, and operational ...

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Showing results 21-40

Data Science information

See Portland, MI salary details

$30.9K

$101K

$161.8K

How much do data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science in Portland, MI is $101,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,100.00 and $112,000.00 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.

What are popular job titles related to Data Science jobs in Portland, MI?

For Data Science jobs in Portland, MI, the most frequently searched job titles are:

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

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

Infographic showing various Data Science job openings in Portland, MI as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $101,035 per year, or $48.6 per hour.

Full-time

Retirement, PTO

Re-posted 12 days ago


Job description

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.

Job Description

We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week.

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a motivated Data Specialist to join our team. The positionanalyzes data processes and the needs of users and stakeholders; develops project plans; and designs, implements, and manages data quality, data reporting, and governance solutions. The position requires the person to:

  • Work with project stakeholders to identify business requirements and expected outcomes.
  • Create, evaluate, and summarize data assets in a form acceptable for use within the Company or outside the Company, including use by government bureaus, agencies, and others.
  • Evaluate and complete regulatory data requests in an accurate and timely manner.
  • Understand data sources and the data lineage of various computer systems in the Company.
  • Build, maintain, and document code used to transform, aggregate, and analyze data.
  • Create and enhance data extracts and analyses to support data reporting functions and inquiries.
  • Evaluate the reliability of sources of data, investigate data integrity, identify data problems, and provide technical expertise for ensuring data quality, while promoting understanding within the Division.
  • Assist with training and mentoring of other associates.
  • Contribute to and promote the peer review process, verify work completed by others, and develop other quality control measures

Desired Skills & Experience

  • 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 completion of actuarial exams or other Company approved courses is preferred. These requirements may be waived or changed, at Company discretion, based on prior education and/or experience.
  • Ability to apply mathematical, statistical, and programming concepts and procedures to analyze and solve complex insurance processes.
  • Demonstrate strong analytical reasoning, problem solving, technical writing, and collaboration and presentation skills.
  • Exhibit high level of initiative, motivation, organization, and leadership.
  • Ability to lead projects and coordinate among diverse stakeholders.
  • Ability to mentor by sharing knowledge and challenging others to grow their skill sets.
  • Ability to work effectively with others at all levels.

Benefits

Auto-Owners offers a wide range of career opportunities, and we are seeking talent that will help us continue our long tradition of success. We offer a friendly work environment, structured training program, employee mentoring and an excellent compensation/benefits package. Along with a competitive base salary, matched 401(k), fully-funded pension plan (once vested), and bonus programs, Auto-Owners also provides generous paid time off including holidays, vacation days, personal time, and sick leave. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you!

Equal Employment Opportunity

Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.

*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.

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