The AI Job Search Engine
MSc Thesis Project – Improvements in Sampling for product qualification using binary data(m/w/x)
Exploring and developing alternative sampling techniques for product qualification, analyzing historical data, and simulating defect rates at a global consumer goods company. Strong academic results in statistics and statistical engineering methodologies application ability required. On-site fitness center and canteen services.
Requirements
- Completed bachelor's degree with strong academic results in statistics or equivalent background in a related field
- Ability to apply statistical engineering methodologies to define problems, develop experimental plans, model data, extract insights, and scale successful models
- Availability for a duration of at least 6 months
- Effectiveness in working with diverse groups by embracing creativity, innovation, and initiative
- Skill in making complex decisions using available data and gut feeling
- Strong communication and collaboration skills to explain statistical concepts to non-experts and maintain relationships
- Proficiency in speaking and writing English
- Awareness of coding skills in Python, R, and/or SAS, ability to connect to cloud databases and write queries, foundations of machine learning/AI, JMP software, GitHub, SQL and/or Databricks
- Short work experience, internships, and studies abroad considered a plus
Tasks
- Explore and develop alternative sampling techniques
- Evaluate qualification protocols and compare with state-of-the-art methods
- Analyze historical data from qualification events
- Account for factors influencing total probabilities
- Perform simulations to estimate defect rates
- Initiate a database for historical trend analyses
- Evaluate applications of machine learning approaches
- Integrate learning experiences to advocate for improvements
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- SAS
- JMP software
- GitHub
- SQL
- Databricks
Benefits
Flexible Working
- Flexible work environment
Team Events
- Regular intern social connects
- Inspirational Leadership Events
Mentorship & Coaching
- Buddy program
- Coaching and mentorship
Healthcare & Fitness
- Fitness center
- Sports groups for running and football
Free or Subsidized Food
- Canteen services
Learning & Development
- Customized personal development plan
- Training-on-the-job
- Individual upskilling opportunities
Diverse Work
- Diverse career perspectives
Career Advancement
- New job assignments every 2-3 years
Workation & Sabbatical
- Opportunity to work abroad
Other Benefits
- Employee programs
Not a perfect match?
- P&GFull-timeInternshipOn-siteEuskirchenfrom 2,300 / month
- 640 P&G Service GmbH
Internship in Digital Transformation (Data & Automation)(m/w/x)
Full-timeInternshipOn-siteEuskirchen - 0011 Miele & Cie. KG (DE)
Hochschulpraktikant (Bachelor) im Bereich Entwicklung(m/w/x)
Full-timeInternshipOn-siteEuskirchen - 0011 Miele & Cie. KG (DE)
Hochschulpraktikant (Master) im Bereich Entwicklung(m/w/x)
Full-timeInternshipOn-siteEuskirchen - Pflegeteam Wentland GmbH & Co. KG
FSJ/Praktikum(m/w/x)
Full-timeSchool InternshipOn-siteRheinbach
MSc Thesis Project – Improvements in Sampling for product qualification using binary data(m/w/x)
Exploring and developing alternative sampling techniques for product qualification, analyzing historical data, and simulating defect rates at a global consumer goods company. Strong academic results in statistics and statistical engineering methodologies application ability required. On-site fitness center and canteen services.
Requirements
- Completed bachelor's degree with strong academic results in statistics or equivalent background in a related field
- Ability to apply statistical engineering methodologies to define problems, develop experimental plans, model data, extract insights, and scale successful models
- Availability for a duration of at least 6 months
- Effectiveness in working with diverse groups by embracing creativity, innovation, and initiative
- Skill in making complex decisions using available data and gut feeling
- Strong communication and collaboration skills to explain statistical concepts to non-experts and maintain relationships
- Proficiency in speaking and writing English
- Awareness of coding skills in Python, R, and/or SAS, ability to connect to cloud databases and write queries, foundations of machine learning/AI, JMP software, GitHub, SQL and/or Databricks
- Short work experience, internships, and studies abroad considered a plus
Tasks
- Explore and develop alternative sampling techniques
- Evaluate qualification protocols and compare with state-of-the-art methods
- Analyze historical data from qualification events
- Account for factors influencing total probabilities
- Perform simulations to estimate defect rates
- Initiate a database for historical trend analyses
- Evaluate applications of machine learning approaches
- Integrate learning experiences to advocate for improvements
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- SAS
- JMP software
- GitHub
- SQL
- Databricks
Benefits
Flexible Working
- Flexible work environment
Team Events
- Regular intern social connects
- Inspirational Leadership Events
Mentorship & Coaching
- Buddy program
- Coaching and mentorship
Healthcare & Fitness
- Fitness center
- Sports groups for running and football
Free or Subsidized Food
- Canteen services
Learning & Development
- Customized personal development plan
- Training-on-the-job
- Individual upskilling opportunities
Diverse Work
- Diverse career perspectives
Career Advancement
- New job assignments every 2-3 years
Workation & Sabbatical
- Opportunity to work abroad
Other Benefits
- Employee programs
About the Company
P&G Service GmbH
Industry
Other
Description
The company is one of the largest consumer goods companies globally, offering a wide array of technical roles within renowned brands.
Not a perfect match?
- P&G
Production / Engineering - Internship / Thesis(m/w/x)
Full-timeInternshipOn-siteEuskirchenfrom 2,300 / month - 640 P&G Service GmbH
Internship in Digital Transformation (Data & Automation)(m/w/x)
Full-timeInternshipOn-siteEuskirchen - 0011 Miele & Cie. KG (DE)
Hochschulpraktikant (Bachelor) im Bereich Entwicklung(m/w/x)
Full-timeInternshipOn-siteEuskirchen - 0011 Miele & Cie. KG (DE)
Hochschulpraktikant (Master) im Bereich Entwicklung(m/w/x)
Full-timeInternshipOn-siteEuskirchen - Pflegeteam Wentland GmbH & Co. KG
FSJ/Praktikum(m/w/x)
Full-timeSchool InternshipOn-siteRheinbach