Top 10 Data science entry level Jobs in Ann Arbor, Mi

Analytics Engineer, Service Parts
Rivian —Plymouth, MI
- Full-time
- Mid-level
- Java
- SQL
Quick Apply
9d
Graduate Developer
GHD —Farmington Hills, MI
- Hybrid work
- Computer Science
- Office
- Bachelor's degree
Data Engineer
CompuTek Solutions —Farmington Hills, MI
- Computer Science
- No experience needed
- Office
Data Engineer
CompuTekSolutions —Farmington Hills, MI
- Computer Science
- No experience needed
- Office
Machine Learning Engineer
Mariana Minerals —Ann Arbor, MI
- $120,000 - $180,000 a year
- Full-time
- Mid-level
- 2 years
- Python
Data Science Engineer
SunSoft Technologies —Farmington Hills, MI
- Mid-level
- Master's degree
- Travel
Data Scientist
Soothsayer Analytics —Livonia, MI
- Full-time
- Computer Science
- Mid-level
- Office
Contract Engineer, Advanced Engineering & Research
Isuzu —Plymouth, MI
- $44 - $48 an hour
- Contract
- Computer science
- Computer Science
- Heavy lifting
Contract Engineer, Advanced Engineering & Research
ISUZU TECHNICAL CENTER OF AMERICA INC —Plymouth, MI
- $44 - $48 an hour
- Contract
- Computer science
- Computer Science
- Heavy lifting
Quick Apply

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data science entry level jobs near ann arbor, mi

Analytics Engineer, Service Parts

Rivian -
Plymouth, MI

Quick Apply

Job Details

Full-time
9 days ago

Qualifications

AI models
Performance dashboard reports
Data integrity assurance
Data model design
Databricks
Data analysis reporting
Automation
Data modeling projects
Data validation techniques
Data preparation projects
Defect analysis
Supply chain
Dashboard creation
Business intelligence report generation
Dashboard creation support
Metrics Reporting
Mid-level
Incident Escalation
Prompt engineering
Java
Quality reports
SQL
Quality control data reporting
Data integrity and documentation
Analysis skills
Machine intelligence
Bachelor's degree in engineering
Data quality monitoring
Machine learning (ML) fundamentals
Quality control communication

Full Job Description

The Analytics Engineer, Global Distribution Strategy (GDS) for Service Parts, supports the governance and standardization of Service Parts Master Data and other essential service parts data. This individual will help monitor data quality against defined targets and thresholds, and assist in maintaining the Service Parts Quality Index — a consolidated scorecard measuring data integrity across key dimensions such as Accuracy, Completeness, Timeliness, and Freshness. Working under the guidance of senior team members, this role will execute data quality checks, build reports and dashboards, and support broader GDS analytics needs, helping ensure service parts data is reliable and ready for analytical use across the organization.

Data Quality Monitoring: Run and maintain data quality checks that feed the Service Parts Quality Index. Track data integrity across key dimensions — Accuracy, Completeness, Timeliness, and Freshness — and flag issues to the team.
Governance Support: Help set up governance standards for Service Parts Master Data, including assisting in defining data quality rules, targets, and thresholds, and maintaining the supporting documentation.
Issue Investigation: Investigate data quality issues, identify root causes where possible, and escalate findings with supporting analysis to senior team members for process or system follow-up.
Analytics Support: Assist in building and maintaining data models and datasets used by the GDS team, following established patterns and best practices.
Reporting: Build and maintain scorecards, dashboards, and recurring reports that communicate data quality status and trends to the Service Parts team.
Collaboration: Work with team members and partner functions to gather requirements, validate data, and support consistent data definitions across the service parts organization.

Education: Bachelor's degree in Data Science, Business Analytics, Supply Chain Management, Engineering, or a related field.
Technical Skills: Working proficiency in SQL; familiarity with data transformation tools (e.g., dbt, databricks, amazon redshift) is a plus. Foundational knowledge of Python or Java is also a plus. Interest in or exposure to applying analytics and ML techniques to operational problems.
Data Quality Awareness: Understanding of data quality concepts such as accuracy, completeness, and timeliness; experience with master data is a plus.
Domain Knowledge: 1–3 years of experience in analytics, supply chain, distribution, or a related data-focused role. Exposure to SAP or similar ERP data is a plus.
Analytical Skills: Ability to work with datasets, build reports and dashboards. Knowledge of Agentic AI & LLM tooling: Claude, Gemini, ChatGPT — workflow automation, MCP integrations, prompt engine.
Communication: Clear written and verbal communication, with the ability to explain data issues and findings to teammates and stakeholders.
Mindset: Detail-oriented, eager to learn, and comfortable working in a structured team environment with guidance from senior colleagues.

Quick Apply

Refine Your Search

data science entry level jobs in ann arbor, mi

Analytics Engineer, Service Parts

Graduate Developer

Data Engineer

Data Engineer

Machine Learning Engineer

Data Science Engineer

Data Scientist

Contract Engineer, Advanced Engineering & Research

Contract Engineer, Advanced Engineering & Research

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