DirecciónCompany 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.
Job Description
We are looking for a Junior Data Scientist in the Merchandizing Area at Zooplus . You will create insights that influence how we make decisions that have an impact at an international scale.
Using predictive and prescriptive analysis methods to unlock vast business opportunities and translating results into goal-oriented business actions.
You will be working on a variety of new challenges and interesting projects that tap your interests and strengths while collaborating closely with your stakeholder, such as Product Management, Marketing, Markets, Management and IT.
Good communication skills, especially with non-technical colleagues, would be a strong asset.
Your job responsibilities as Junior Data Scientist include :
- Developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization, with a focus on white box models.
- Working closely with stakeholders in translating challenging retail business problems and our stakeholders needs into the Data Science Domain, selecting the best fit for structured & unstructured and complex data.
- Advising them in interpreting generated insights, also using dashboards and deriving concrete business decisions having a real impact.
- Perform exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and / or prescriptive) , including ad-hoc analysis on specific topics
Qualifications
- Strong analytical skills.
- University degree computer science, mathematics, statistics or similar.
- First experience in the area of Data Science or Statistics.
- Experience using Python or a similar scripting languages for statistical modeling.
- First experience using standard open-source statistical packages ranging from numpy over sklearn to pytorch.
- First experience in working with datasets that do not fit in memory.
- First experience with Bayesian Modelling (not mandatory).
- Strong SQL knowledge.
- First experience with Tableau and / or PowerBI.
- Being a strong team player ready to work in a fast-paced environment
- Very good English (spoken and written).
Additional Information
With more than 1,000 passionate professionals located across 10 European offices, we believe our success comes from working together and leveraging our international strengths.
Expect to work in a hybrid environment, collaborating with colleagues in different locations remotely.
Our benefits :
20% discount in our zooplus shop
Internal and external training
Team events
LI-Hybrid ️ 28 vacation days and days off on 24th and 31st of December
Corporate rates at a local gym chain (Body & Soul)
Company mobile phone for work and personal use
