
Data Science Engineer – Working Student
LIME
part-time
Posted on:
Location Type: Remote
Location: Germany
Visit company websiteExplore more
Job Level
Tech Stack
About the role
- Identify, extract and process data from relevant data sources for model development.
- Researching and selecting suitable image data sources.
- Managing the end-to-end image data collection and preparation process including filtering, extraction, cleaning, structuring, and quality checks.
- Analyzing image datasets using ML models to validate data quality and labeling plausibility.
- Designing prompt/query logic for LLM-driven automation of meta-labeling processes.
- Research methods to collect video data for ML training.
- Creating audit-ready documentation to support compliance and internal audits.
- Validating and quality-checking annotations ensuring consistency, completeness, and adherence to internal annotation guidelines, and providing structured feedback.
- Documenting quality findings to support continuous improvement of data quality.
- Collaborate closely with our software and product teams.
- Continuously develop yourself and think outside the box.
Requirements
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science or a related field, ideally in the early stages of studies.
- Solid experience with Python.
- Exposure to or hands-on experience in one or more of the following areas: machine learning, computer vision, data pipelines.
- Comfortable working with shared codebases.
- Experience in data science or working with large datasets is a plus.
- Familiarity with clean coding principles is appreciated.
- Curiosity and creativity — question the status quo and actively contribute your ideas.
Benefits
- Freedom & Responsibility: Decide for yourself when, where, and how you work.
- Best Ideas Win: Be part of an inspiring team where arguments count more than positions.
- Continuous Growth: Grow beyond yourself through continuous learning with courses, mentoring, and feedback.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonmachine learningcomputer visiondata pipelinesdata extractiondata cleaningdata structuringdata validationmeta-labelingquality assurance
Soft Skills
curiositycreativitycollaborationproblem-solvingattention to detailcritical thinkingcommunicationadaptabilityfeedback provisioncontinuous improvement
Certifications
Bachelor’s degreeMaster’s degree