招聘

Werkstudierende (m/w/d) IT & Software Entwicklung
Samsung Space, Eschborn, Germany
·
On-site
·
Full-time
·
2w ago
Required Skills
Machine Learning
Position Summary
Samsung makes everything possible so that people all over the world can do all kinds of things. Breaking new ground. Daring new ideas. Live new dreams. With smart products that make all our lives easier, more exciting and more varied. Become part of this great vision - become part of our successful team.
We are looking for a committed and motivated person for our Service division as an
Working student (m/f/d)
Artificial Intelligence and Data Science:
Place of work: Eschborn
Start: from 01.04.2026
Period: 12 Month
Role and Responsibilities:
- Applying machine learning techniques to solve complex data problems•Utilizing natural language processing for data-driven insights•Engaging in predictive modeling to forecast trends and outcomes•Supporting data engineering projects with a focus on data quality and integrity•Create clear, actionable reports that communicate findings to both technical and non-technical audiences•Transform raw usage data into strategic recommendations for product development and user experience optimization
Skills and Qualifications
-
Currently pursuing a BSc, BEng or MSc in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related field•Fluent/native business-level English•A self-starter who is equally comfortable working independently or collaboratively•Strong analytical and problem-solving skills
-
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About Samsung
Reviews
3.7
15 reviews
Work Life Balance
2.0
Compensation
2.5
Culture
1.5
Career
2.0
Management
1.8
15%
Recommend to a Friend
Pros
Hardware/technology leadership
Competitive salary offers for some roles
Sign-on bonuses available
Cons
Toxic culture and politics
Poor work-life balance with strict RTO policies
Micromanagement and employee tracking
Salary Ranges
22 data points
Senior/L5
Senior/L5 · Digital Transformation Manager
1 reports
$180,827
total / year
Base
$157,414
Stock
-
Bonus
-
$180,827
$180,827
Interview Experience
6 interviews
Difficulty
2.2
/ 5
Duration
14-28 weeks
Offer Rate
67%
Experience
Positive 33%
Neutral 33%
Negative 34%
Interview Process
1
Application Review
2
Phone Screen
3
Technical/Video Interview
4
Team Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Role-Specific Skills
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