Job
- Level
- Erfahren
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- 56.200 bis 77.400€ Brutto/Jahr
Job Zusammenfassung
In dieser Rolle entwirfst, entwickelst und wartest du lineare Optimierungsmodelle, um logistische Prozesse zu verbessern und unterstützt durch Datenanalysen die Entscheidungsfindung in einem dynamischen Versandnetzwerk.
Job Technologien
Deine Rolle im Team
- As a Data Scientist in Linear and Mixed Integer Optimization, you will join the Resource Planning Team and will contribute to crucial outbound logistics processes and systems in the company.
- You will have an opportunity to create and enhance tools for cost-efficient planning in a continuously growing logistics network with 1.000.000+ parcels weekly.
- Design, develop and maintain linear optimization and mixed integer models and integrate them in production.
- Analyze data, run simulations, and present actionable insights to stakeholders across engineering, product, and operations.
- Contribute to the full SDLC; from ideation and prototyping to deployment, monitoring, and continuous improvement.
- Ensure quality and performance of developed solutions through testing, validation, and monitoring in production.
Unsere Erwartungen an dich
Qualifikationen
- BS in Computer Science, Applied Mathematics, or another related field.
- Proficiency in Python and scientific computing libraries such as Pandas, NumPy, and SciPy.
- Knowledge of relational databases and query authoring (SQL).
- Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
- Team player with "can do" attitude.
- Proactive in learning new skills and technologies, confident in challenging status quo to drive continuous improvement.
Erfahrung
- 3+ years of hands-on experience solving linear optimization and mixed-integer problems.
- 1+ years of experience with commercial solvers (preferably Gurobi) for building and solving optimization models.
- Solid knowledge of advanced mathematical modeling techniques and experience with simulations.
- Practical experience working with relational databases and writing SQL queries.
- Experience with Forecasting algorithms will be a plus; willingness to learn is equally valued.
Unser Angebot
- Headquartered in Munich, with offices across Madrid, Krakow, Wroclaw, London and Vienna, we collaborate because we genuinely love working together - so you'll be at the heart of an incredible, multinational team.
- We trust each other to get the job done, which means you'll benefit from hybrid working, spending 60% of your time in the office and 40% at home.
- There's an option to work for 20 days abroad in approved countries too.
- Add to that development opportunities that help you to shape your own career path, excellent training and support, wellbeing offers, subsidised transport or bike leasing, plus 20% discount across all our products, and you'll begin to get a sense of what sets us apart.
- A note on compensation: We believe in being transparent about salary ranges.
- The range shown reflects the full scope that the role can grow into over time, depending on experience, skills, and impact.
- Most offers are positioned around the midpoint of the range, ensuring a fair and consistent approach across our teams.
Benefits
Essen & Trinken
Work-Life-Integration
Mehr Netto
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
zooplus AG
Wien
Die Zooplus AG hat ihren Sitz in München und ist Betreiber einer Internet-Handelsplattform für Haustierbedarf. Neben dem Online-Shop bietet die Firma auch einen Online-Informationsdienst rund um das Thema Haustier sowie eine Community an.
Description
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Werbung, Marketing, PR, Handel, Internet, IT, Telekom
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(1 Bewertung)3.7
Career Growth
3.2Culture
4.3Workingconditions
4.4Engineering
3.2
Data Scientist - Linear Optimization
- Gehalt
- 56.200 bis 77.400€ Brutto/JahrNetto aus dem Bruttogehalt im Inserat mit Steuerklasse I umgerechnet.35.603 bis 46.655 € netto/Jahr · Steuerklasse I
- Ort
- München
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
