Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 63.300 to 77.400€ gross/year
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop linear optimization models and integrate them into the production environment, while analyzing data, running simulations, and communicating insights to stakeholders.
Job Technologies
Your role in the 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.
- We work in self-organized teams, respecting and valuing everyone´s opinion.
- We learn from each other through pair programming, code reviews, and knowledge sharing.
- We deliver value by developing new features, maintaining existing products and improving the infrastructure required for it, so being cross-functional is part of our DNA.
- We build quality into our code by following clean code principles and DevOps practices - you build it, you run it.
- We work in a mature Agile environment, taking part in the entire software development life cycle from discovery through coding, testing, deployment, and maintenance.
- We continuously grow our skillset staying on top of fast-pacing environment, striving for mastery and using state-of-the-art technologies and practices.
- 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.
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Our expectations of you
Qualifications
- Bachelor's degree in Computer Science, Applied Mathematics, or a related field.
- Proficiency in Python and scientific computing libraries such as Pandas, NumPy, and SciPy.
- Knowledge of relational databases and query authoring (SQL).
- Starke Kommunikationsfähigkeiten und die Fähigkeit, komplexe technische Konzepte verständlich für nicht-technische Stakeholder zu erklären.
- Team player with 'can do' attitude.
- Proactive in learning new skills and technologies, confident in challenging the status quo to drive continuous improvement.
Experience
- 3+ Jahre praktische Erfahrung in der Lösung linearer Optimierungs- und gemischt-ganzzahliger Probleme.
- 1+ Jahre Erfahrung mit kommerziellen Lösungsanbietern (vorzugsweise Gurobi) für die Erstellung und Lösung von Optimierungsmodellen.
- 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.
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What we offer
- 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.
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Benefits
Food & Drink
Work-Life-Integration
Higher Take-Home Pay
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
zooplus AG
Wien
The Zooplus AG, headquartered in Munich, operates an e-commerce platform for pet supplies. In addition to the online shop, they also operate an online information service about pets and a community forum.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Advertising, Marketing, PR, Trade, Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(1 Review)3.7
Career Growth
3.2Culture
4.3Workingconditions
4.4Engineering
3.2
Data Scientist - Linear Optimization
- Salary
- 63.300 to 77.400€ gross/yearEstimated net salary based on the gross salary in the job ad using tax class I.39.236 to 46.655 € net/year · Tax class I
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
