Job
- Level
- Experienced
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 56.200 to 77.400€ gross/year
Job Summary
In this role, you design, develop, and maintain linear optimization models to enhance logistics processes, supporting decision-making through data analysis in a dynamic shipping network.
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.
- 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).
- Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
- Team player with a "can do" attitude.
- Proactive in learning new skills and technologies, confident in challenging the status quo to drive continuous improvement.
Experience
- 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.
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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
- 56.200 to 77.400€ gross/yearEstimated net salary based on the gross salary in the job ad using tax class I.35.603 to 46.655 € net/year · Tax class I
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
