3 Expertin Jobs in Flachgau
Welcome to Yourself
- Rohstoffsourcing & Trendscouting: Identifikation, Bewertung und Qualifizierung neuer, innovativer Rohstoffe und Herstellungstechnologien im Bereich Premium-Nahrungsergänzung (für Menschen und Tiere) sowie Functional Drinks – unter Berücksichtigung von Qualität, Verfügbarkeit, Lieferzeiten, Preis und Konditionen
- Quality & Rohstofffreigabe: Fachliche und qualitative Bewertung inkl. HACCP-Risikoanalyse, Gefahrenanalyse, Allergenmanagement und Food-Fraud-Betrachtung in enger Abstimmung mit dem Quality-Team, sowie Übergabe an den Einkauf
- Rohstoffdatenbank: Pflege, Weiterentwicklung und Dokumentation der Stammdaten und Spezifikationen (RS2) inkl. Allergenmanagement
- Ressourcenplanung & Kalkulation: Unterstützung bei Rohstoffkalkulationen, Planung von Rohstoffressourcen sowie Verwaltung von Mustern für Entwicklung, Qualitätsprüfung und Freigaben
- Lieferantenmanagement: Durchführung von Lieferantenaudits und -qualifizierung in enger Abstimmung mit dem Quality-Team sowie Aufbau nachhaltiger Partnerschaften
- Markt- & Zukunftsanalysen: Kontinuierliche Beobachtung internationaler Rohstoff- und Technologietrends (digital sowie auf Fachmessen)
- Schnittstellenarbeit: Zusammenarbeit mit Produktentwicklung, Qualitätsmanagement, Einkauf und Geschäftsführung
|
RESPONSIBILITIES
- 4+ years of experience in Data Science. Previous experience working on Data Science topics in Operations / Supply Chain is a plus.
- Masters or Doctorate in relevant field, for instance: Mathematics, Operations Research, Science (including data, computer, behavioural, social, e-con, ...).
- Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly
- Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …)
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organization
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones
- Grit: proven capability to see things through to the end even if initial feedback is discouraging
|
RESPONSIBILITIES
- Minimum of 4 years of professional experience in the IT field, preferably in a consulting or cross-functional role
- Strong governance skills with a structured, conceptual approach
- Advanced data analysis capabilities to support fact-based decision-making
- Solid understanding of IT management processes and financial aspects
- Proven experience in communicating with senior leadership and external partners
- Excellent stakeholder management skills in English and preferably in German
- Persistence, proactivity, and flexibility in solving complex and abstract problems
- Excellent interpersonal skills for collaboration in an informal team-oriented culture
|
