Data Scientist

Job not on LinkedIn

🔥 10 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

SHOP APOTHEKE EUROPE

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

SHOP APOTHEKE EUROPE is a pharmacy company focused on providing healthcare and pharmaceutical services within Europe. Operating under the brand name Redcare, it emphasizes a people-first approach to pharmacy, aiming to guide individuals through their health journeys. The company is committed to sustainability, aligning its strategies with the Paris Climate Agreement to contribute positively to environmental health. SHOP APOTHEKE EUROPE also engages in public affairs, investor relations, and offers career opportunities for those interested in joining their mission-driven team.

📋 Description

• Improve product recommendations in the webshop and app by analysing customer behaviour and product data • Develop and refine recommendation models • Engineer relevant features and apply state-of-the-art machine learning approaches • Lead end-to-end Data Science initiatives with Product Managers, ML Engineers, Data Engineers, ML Ops, and domain experts • Translate product questions into hypotheses and practical improvements • Design, analyse, and interpret A/B tests • Define success metrics and guardrails and assess statistical uncertainty • Turn experiment results into clear product recommendations • Contribute to data exploration, experimentation, implementation, productionizing, monitoring, and continuous improvement

🎯 Requirements

• Practical experience developing machine learning models, including data preparation, feature engineering, modelling, and evaluation • Strong Python and SQL skills • Clear, structured, maintainable code • Familiarity with Git, testing, and reproducible development practices • Understanding of production model development, reproducible training, reliable data pipelines, and trade-offs between model quality, scalability, and maintainability • Practical expertise in A/B testing and experimental design, including metric selection, statistical power, and interpreting results • Solid understanding of recommendation systems and machine learning approaches such as collaborative filtering, ranking models, or embeddings • Ability to work iteratively in a cross-functional product team and translate business goals into workable solutions

🏖️ Benefits

• Employees can work remotely • Work from Home: arrange the place you work from individually, even for up to 20 days a year anywhere in the EU • Individual development support through various in- and external trainings • 30 days paid vacation per annum • Another day off on Rosenmontag • Option to take up to 10 days of unpaid vacation after one year working with the company • Urban Sports Club membership (M package) • Creative team events and regularly scheduled parties