Working Student Data Scientist

vor 1 Woche

München, Deutschland zooplus SE Vollzeit

**Company Description**
More than 20 years ago, zooplus was one of the first to bring the pet category into the world of eCommerce. Today, we stand strong as Europe’s leading online pet platform, delivering moments of happiness to more than 9 million pet parents each year.

We're on a mission to create joy for pets and their parents, driven by our core values of **Care**, **Courage**, **Openness**, and **Simplicity**. At the heart of everything we do, they inspire us to grow, raise the bar for our customers and fuel a pet-first business.

Key Responsibilities:

- Assist in developing and implementing linear optimization models.
- Collaborate with team members to analyze data and identify optimization opportunities.
- Support the preparation of reports and presentations based on optimization results.
- Participate in team meetings and contribute to project discussions.

**Qualifications**
- Currently pursuing a BSc or MSc in Computer Science, Mathematics, or a related field.
- Solid foundation in mathematical optimization concepts and algorithms, keen to learn and develop.
- Experience with Python and SQL.
- Experience with open-source or commercial solvers (e.g., Gurobi, CPLEX) is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Enrolled student, available to work for 20 hours per week for at least 9 months in a hybrid work setup.
- Proficiency in English for effective communication with the team.

**Additional Information**
With more than 1,000 passionate professionals located across 6 European offices, we believe our success comes from working together and leveraging our international strengths. Expect a hybrid work setup**:60% in-office, 40% remote**, collaborating with colleagues across locations.
LI-Hybrid

zooplus is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.

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