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Data Science Entry Jobs in Michigan (NOW HIRING)

General Motors

AI Agent Engineer

Warren, MI · On-site

Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...

General Motors

AI Agent Engineer

Warren, MI · On-site

$150 - $200/hr

Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...

General Motors

AI Agent Engineer

Warren, MI · On-site +1

Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent ... This includes direct company sponsorship, entry of GM as the immigration employer of record on a ...

NSF

Scientist I - Microbiology

Traverse City, MI · On-site

... data entry - and contributes to media production, instrument upkeep, and a clean, compliant lab ... S. in Microbiology, Biology, Medical Laboratory Science, or a closely related science discipline ...

NSF

Scientist I - Microbiology

Traverse City, MI · On-site

$60 - $80/hr

... data entry - and contributes to media production, instrument upkeep, and a clean, compliant lab ... S. in Microbiology, Biology, Medical Laboratory Science, or a closely related science discipline ...

NSF

Scientist I - Microbiology

Traverse City, MI · On-site

... data entry - and contributes to media production, instrument upkeep, and a clean, compliant lab ... We provide science-driven, independent testing, inspection, certification, and advisory services ...

NSF

Scientist I - Microbiology

Traverse City, MI · On-site

... data entry - and contributes to media production, instrument upkeep, and a clean, compliant lab ... We provide science-driven, independent testing, inspection, certification, and advisory services ...

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How much do data science entry jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data science entry in Michigan is $16.97, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $19.09 per hour, depending on experience, location, and employer.

What is an entry-level data scientist?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

What skills and qualifications are needed to thrive as an entry-level data scientist?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What types of projects do entry-level data scientists work on?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

Can a data science entry-level position be entry-level?

Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring skills in programming languages like Python or R, and familiarity with data analysis tools. These roles typically involve learning on the job and may require a relevant degree or certification, such as a data science bootcamp or coursework.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.
Data Science Entry jobs near you
Infographic showing various Data Science Entry job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $35,303 per year, or $17 per hour.

Purchasing Data Management Specialist

Northville, MI • On-site

Aisin Corporation
See more jobs at Aisin Corporationexternal

Full-time

Re-posted 19 days ago

Aisin rating

6.0

Company rating: 6.0 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

451st of 499 rated machine equipment manufacturers

Job description

Job Title: Purchasing Data Management Specialist (Raw Material & MRO Support)
Company: AISIN World Corp. of America
Department: Business Management, Purchasing - Materials & Machinery
Location: Northville, MI
Position Responsibilities
The incumbent is expected to perform the following functions that the company has determined are essential to this position:
Data Management Creation and Maintenance
  • Develop, structure, and maintain data management systems to support AISIN Controlled Purchasing System (CPS) for Raw Material and to integrate MRO data across all AISIN North American plants.
  • Design data tables to map Raw Material grades to select Tier-2 suppliers under the AISIN CPS program.
  • Build a centralized MRO data management structure, consolidating items by manufacturer numbers and plant-specific details, progressing toward unified AISIN MRO part numbering by sub-commodity type.
  • Develop automated data import processes to merge information from ERP systems, plant spreadsheets, and supplier data files.
  • Establish data normalization and cross-reference logic to ensure high data integrity and eliminate redundancy.

System Integration and Process Automation
  • Collaborate with Purchasing, Finance, and Engineering to connect the data management system with existing cost-tracking, RFQ, and tariff-management workflows.
  • Define version control and revision history methods for supplier and part information.
  • Automate data validation (duplicate checks, completeness verification, and formatting consistency).

Strategic Data Management Development
  • Define data architecture and indexing strategies for efficient search and reporting across multi-plant data sets.
  • Establish data governance: user access standards, backup routines, and security controls.
  • Work with Purchasing, Material Engineering, Design, and Plants to maintain structured update processes and data ownership.
  • Support development of cost benchmarking and predictive analysis capabilities.

Collaboration & Continuous Improvement
  • Support Raw Material, MRO, and Commodity Teams with data insights for supplier mapping, cost reduction, and risk assessment.
  • Create clear documentation (data dictionary, process flows).
  • Participate in cross-functional workshops to improve reporting usability.
  • Train users on data entry, search, reporting, and interpretation.
  • Other tasks and duties as assigned.

Required Skills and Abilities
Essential Skills and Experience:
  • 2-5 years of experience in data system design and integration.
  • Strong understanding of relational data structures (SQL, Access, or similar).
  • Experience in automotive manufacturing or supply chain.
  • Experience consolidating data from ERP or plant-level systems.
  • Strong analytical ability and attention to data integrity.
  • Ability to work cross-functionally with Purchasing, Finance, and Engineering.
  • Advanced proficiency in Excel and data tools (Power Query, Access; Power BI a plus).

Beneficial Skills and Experience
  • Familiarity with cloud-based data environments.
  • Knowledge of data governance and master-data management concepts.
  • Experience working with Japanese-based organizations.

Education/Training/Certifications
  • Bachelor's degree in Data Management, Computer Science, or related field.

Travel Requirements
  • Approximately 5 - 10 %.
  • Must be willing and available to travel to such locations and with such frequency as is necessary and desirable to meet business needs.

Work Environment Requirements
With reasonable accommodation:
  • Must be able to operate a personal computer, telephone, and other office equipment.
  • Must perform job duties onsite, when necessary, except those duties that are customarily or by their nature performed offsite (for example, offsite customer visits).
  • Must be able to work effectively in a fast-paced environment.
  • Must be able to work on multiple assignments at once, and complete assignments within deadline and budget (if applicable) with satisfactory quality.
  • Must be able to operate as an effective team member.
  • Must be committed to a high standard of safety and be willing and able to comply with all safety laws and all company safety policies.

Attendance/Work Hour Requirements
  • Must maintain an acceptable attendance record.
  • Must be willing and available to work weekends and holidays as necessary and desirable to meet business needs.

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