Job
- Level
- Junior
- Location
- Darmstadt
- Working Model
- Onsite
- Job Field
- Database
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
Job Summary
In this role, you will capture and structure raw material data from various systems and prepare it for AI models to derive valuable insights for process optimization in the field of taste science.
Job Technologies
Your role in the team
- Data Capture & Database Integration: You are responsible for the systematic collection and extraction of relevant raw material and process data from SAP and other systems. You transfer this information throughout the entire lifecycle of a "Taste Ingredients" in a structured manner into our databases.
- Data Clean-up: You are responsible for cleaning, harmonizing, and structuring complex datasets (including using Excel and database tools). In this process, you transform unstructured raw data into a consistent, high-quality, and error-free data foundation.
- Data Transfer for AI Models: You prepare the condensed database contents specifically, format and transfer them in a way that they can be seamlessly used as input or training data for our AI and machine learning models for data-driven process optimization.
- Domain expertise in Taste Science: With your understanding of Taste Science and sensory parameters, you ensure that the database design and the captured data models accurately reflect the sensory and physical realities of our products. This helps the team derive valuable optimization potentials from the clean data.
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Our expectations of you
Education
- You are pursuing a master's degree in Computer Science, Data Science, Food Technology, Sensory Science, or a comparable program at the intersection of data architecture and taste science.
Qualifications
- You possess a good basic understanding of Taste Science, Sensorics, or Food Science to be able to classify the context of the database entries correctly.
- A proactive hands-on mentality, team spirit, and willingness to familiarize yourself with new data-related challenges distinguish you, as well as good English skills.
Experience
- You bring extensive practical experience in data processing, data cleaning (Clean-up), and preparing datasets for complex databases or AI applications.
- You have very good Excel skills for structuring data, ideally complemented by initial experience with databases and query languages (such as SQL) or automated data pipelines.
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What we offer
- We create an environment where passion makes a difference. Meaningful tasks, genuine commitment, and positive energy motivate us to give our best every day and to make a sustainable impact together.
- We encourage you to take responsibility and contribute your ideas. Regardless of your role, you have the opportunity to show initiative and make a real impact.
- With our flexible and cross-departmental development opportunities and a global team, Döhler offers the perfect environment to expand skills, discover new strengths, and actively take control of your professional development.
- Become part of an international team where diverse cultures, languages, and perspectives come together to generate new ideas and inspiration. Through global collaboration, you will expand your personal and professional horizons.
- We build deep relationships and grow together. We share our knowledge and leverage our strengths purposefully. In this way, we create a corporate culture where trust and team spirit pave the way for shared success.
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Benefits
Health, Fitness & Fun
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Döhler
Döhler is a world-leading manufacturer of food additives. In Europe, Döhler is the market leader in flavours for beverages. Döhler's products are of the highest quality and are used by the world's leading food and beverage companies.
Description
- Founding Year
- 1838
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Food Products