1

Data Science Associate Jobs in Michigan (NOW HIRING)

Bachelor's degree in Computer Science, Engineering, Data Science or a related field, plus seven(7) ... Associate's degree in a related field, plus nine (9) or more years of relevant experience * [OR ...

Senior Data Engineer

Jackson, MI · On-site

$96K - $131K/yr

Bachelor's degree in Computer Science, Engineering, Data Science or a related field, plus seven(7) ... Associate's degree in a related field, plus nine (9) or more years of relevant experience * [OR ...

Predictive Modeler

Lansing, MI · On-site

$55.50 - $72/hr

Our group of caring associates create financial security by helping individuals and businesses make ... An understanding of statistical modeling or data science concepts, especially clustering ...

Predictive Modeler

Lansing, MI · Hybrid

$55.50 - $72/hr

Our group of caring associates create financial security by helping individuals and businesses make ... An understanding of statistical modeling or data science concepts, especially clustering ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

AI Governance Sr Associate

Detroit, MI · On-site

$72K - $212K/yr

... Science, Data Processing/Analytics/Science, Statistics, Management Information Systems & Accounting, Finance & Technology, Business Administration/Management, Accounting & Technology, Regulatory ...

AI Solutions Architect

Detroit, MI · On-site

$62.25 - $82.25/hr

... Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert The wage range for this role takes into account the wide range of factors that are considered in making compensation ...

next page

Showing results 1-20

Data Science Associate information

See Michigan salary details

$50.1K

$59.3K

$112.4K

How much do data science associate jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data science associate in Michigan is $59,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,400.00 and $51,900.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
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 are popular job titles related to Data Science Associate jobs in Michigan? For Data Science Associate jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Data Science Associate jobs? Cities in Michigan with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Michigan as of June 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $59,302 per year, or $28.5 per hour.
Senior Data Integrity Associate

Senior Data Integrity Associate

Wayne State University

Detroit, MI • On-site

$50K/yr

Full-time

Posted 14 days ago


Wayne State University rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

242nd of 537 rated colleges and universities


Job description

Senior Data Integrity Associate
Wayne State University is searching for an experienced Senior Data Integrity Associate at its Detroit campus location.
Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.
Essential functions (job duties):
Job Purpose
Responsible for leading data maintenance and enrichment projects, ensuring the accuracy, integrity, and quality of the alumni, donor and gift records in the administrative database(s) for the Division of Development and Alumni Affairs. This position leads efforts to enhance data integrity, manage data enrichment projects and implements processes to ensure reliable and consistent records. Work with other units in the division to coordinate data maintenance efforts. This position reports to the Associate Director, Data Integrity.
Essential Functions
(Essential functions are the primary duties/major job responsibilities that an employee must be able to perform, with or without reasonable accommodation. The essential functions are listed in order of importance.)
Essential Function % Time
Ensure the accuracy, integrity, and confidentiality of alumni, donor, and gift records through strategic oversight of data maintenance activities, including additions, deletions, and modifications. Supervise the processing of data update requests from staff, donors, alumni and friends. Assist the Director, Reporting & Data Services in evaluating data enhancement strategies. Lead data hygiene projects and the importing of returned data from third-party vendors. 30%
Analyze data for integrity noncompliance based on university and division business rules, user input and best practices. Identify and correct structural and semantic data errors. Serve as a subject-matter expert for the Data Integrity staff. 25%
Assist with the ongoing enhancement and maintenance of volunteer records, including assisting with the outreach process and processing of updates. Evaluate the data hygiene of non-volunteer category involvement records and reconcile data from external sources. 10%
Execute protocols for new data integrity checks in the division's administrative database(s) and create scheduled workflows where appropriate. 10%
Execute protocols for routine updates of biographical data in the division's administrative database(s), including call center and NCOA updates. Establish a protocol to track update requests and monitor completions. Monitor and report on the progress of all ongoing data integrity projects. 10%
Upload modified records collected from external sources into the division's administrative database(s). 5%
Code large groups of alumni, donors and prospects to support the university's alumni engagement, fundraising, and donor stewardship activities. Research and evaluate third party vendors and data enhancement services, as requested. 5%
Perform other related duties as assigned. 5%
WORK CONTEXT
This grid characterizes the position scope.
Job Reports to: Associate Director
Leadership Accountability: Implements operating plans
Supervisory Accountability: None
Organizational Accountability: None
Financial Accountability: None
Customer Accountability: Interfaces with customers outside the S/C/D
Freedom to Act: Subject to regular review by supervisor
Unique duties:
Qualifications:
MINIMUM QUALIFICATIONS
Education Bachelor's degree
Graduation from an accredited college or university with a bachelor's degree in computer science, information systems, information technology, or related field.
Experience Intermediate (3 to 4 years job-related experience)
Minimum three (3) years of experience with database management, records maintenance, SQL, and data cleansing, extraction and validation.
Experience with administrative systems software, preferably in the higher education or nonprofit environment.
General understanding of, and interest in, Development and Alumni Affairs' best practices and general operations.
Positive and collaborative professional philosophy, recognizing that this position is integral to the achievement of the goals and objectives of Development and Alumni Affairs.
Knowledge, Skills and Abilities
ANALYTICAL AND PRESENTATION SKILLS: Ability to evaluate, interpret, and present complex information effectively in professionally prepared documents or presentations. Must possess a demonstrated attention to detail in order to achieve a high degree of accuracy.
COLLABORATION: Exhibits a willingness to partner with units across the university with integrity and high character to reach unified goals. Possesses the ability to navigate difficult situations with grace and understanding.
COMMUNICATIONS SKILLS: Ability to communicate clearly, concisely and professionally both orally and in writing. Strong interpersonal skills are a must. Demonstrates the ability to plan and deliver oral and written communications that are impactful and persuasive including presentations to university management and committees.
LEARNING AGILITY: Independent and innovative self-starter who displays an ability to learn quickly and easily adapts to changing situations. Experience researching topics to gain knowledge and understanding when information gaps exist.
PLANNING AND ORGANIZATION: Ability to manage several projects simultaneously, prioritize and plan work activities while meeting respective deadlines. Strong organizational and time-management skills required. Maturity, sound judgment and ability to handle multiple tasks simultaneously in a deadline-oriented environment.
TEAMWORK: Ability to collaborate effectively with colleagues within the division and other units to gain full understanding of the project and desired outcome; ability to produce high quality and consistent results with assistance of team members; provide support to teammates when tackling complex projects.
TECHNICAL SKILLS: Proficient in the use of complex administrative systems software, preferrably in the higher education environment. Proficient with Microsoft Office suite, especially Word, Excel and Teams. Ability to understand and translate complex concepts into lay terms.
Working Conditions
Normal office environment. Hybrid schedule.
Adhere to confidentiality and data usage policy for the division.
Preferred qualifications:
School/College/Division:
H86 - Development & Alumni Affairs
Primary department:
H8605 - Development Office
Employment type:
  • Regular Employee
  • Job type: Full Time
  • Job category: Staff/Administrative
Funding/salary information:
  • Compensation type: Annual Salary
  • Hourly rate:
  • Salary minimum: $50,000
  • Salary hire maximum: $57,000
Working conditions:
Normal working conditionsHybrid work schedule
Job openings:
  • Number of openings: 1
  • Reposted position: No
  • Reposted reason: None (New Requisition)
  • Prior posting/requisition number:
Background check requirements:
University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.

What Wayne State University employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom