Data Scientist - Linear Optimization (All Genders)

zooplus SE; München; Vor Ort; EUR 63.000 - 77.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Wellbeing offers

Transport subsidies

20% discount on products

Zusammenfassung

zooplus SE, Munich, seeks a Data Scientist specialized in Linear and Mixed Integer Optimization to join the Resource Planning Team. You will build and refine optimization models, deploy them in production, and collaborate with engineering, product and operations to drive cost-efficient logistics.

The role requires 3+ years in linear optimization, Python and Gurobi, and strong SQL skills. We offer a hybrid work model, international team, and development opportunities.

Qualifikationen

• BS in Computer Science, Applied Mathematics, or related field.
• 3+ years solving linear optimization and mixed-integer problems.
• 1+ years with commercial solvers (preferably Gurobi).
• Strong knowledge of mathematical modeling and simulations.
• Proficiency in Python and libraries such as Pandas, NumPy, SciPy.
• SQL experience with relational databases.
• Excellent communication to explain complex concepts.

Aufgaben

• 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 to deployment and monitoring.
• Ensure quality and performance through testing and validation in production.

Kenntnisse

Linear optimization

Mixed integer

Python

Pandas

NumPy

SciPy

SQL

Gurobi

Data analysis

Ausbildung

BS in Computer Science, Applied Mathematics, or related field

Tools

Gurobi

Python

SQL

Jobbeschreibung

Data Scientist - Linear Optimization (All Genders)

• Full-time
• Department: Product & Tech
• Job Level: 06
• Compensation: EUR 63,300 - EUR 77,400 - yearly

With over 25 years’ experience, plus the same enormous passion and ambition we had on day-one, we’re trailblazers in the pet e-commerce industry. Our solutions make over 12 million customers genuinely happier – and that’s something we really care about. We work together to continually adapt; embracing change and the challenges it brings so that we can keep doing better. Join us and discover a place where your potential meets your passion for pets. That’s the power of plus.

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.

Here are some things about the way we work:

We work in self-organizedteams, respecting and valuing everyone´s opinion.

Welearnfrom each other through pair programming, code reviews, and knowledge sharing.

Wedeliver valueby developing new features, maintaining existing products and improving the infrastructure required for it, so beingcross-functional is part of our DNA.

We buildqualityinto our code by followingclean codeprinciples andDevOpspractices - you build it, you run it.

We work in a mature Agileenvironment, taking a part in 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 formastery and usingstate-of-the-art technologies and practices.

We embrace diversity, having colleagues from over 50 countries. This means our working language isEnglish.

These are some of the technologies, frameworks, and practices we use:

Gurobi, Python

Amazon Web Services and Terraform

CI/CD with Jenkins pipelines

Grafana, Kibana

Responsibilities:

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.

Requirements:

BS in Computer Science, Applied Mathematics, or another related field.

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

Proficiency in Python and scientific computing libraries such as Pandas, NumPy, and SciPy.

Knowledge of relational databases and query authoring (SQL)

Practical experience working with relational databases and writing SQL queries

Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Experience with Forecasting algorithms will be a plus; willingness to learn is equally valued

Team player with "can do" attitude

Proactive in learning new skills and technologies, confident in challenging status quo to drive continuous improvement

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. Find out more about the specific benefits at your local office in our blog posts .

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.

At zooplus, we believe in equal opportunity and support everyone to fulfil their potential. We recognise the power of listening and learning from each other and embrace diversity and inclusion of all.

#LI-Hybrid

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