Senior Manager, Data Science

Job not on LinkedIn

🔥 12 hours ago

🌐 Netherlands, Germany – Remote

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⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 25%

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Logo of SHOP APOTHEKE EUROPE

SHOP APOTHEKE EUROPE

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

• Lead, develop, and enable a growing Data Science team of internal and external colleagues • Set priorities, support professional development, and foster an inclusive, high-performing environment • Act as a hands-on technical sparring partner on data science, machine learning, and model evaluation • Balance business needs with analytical rigor and scalable implementation • Strengthen experimentation and measurement practices across Data & AI • Advise product teams on A/B testing, success metrics, statistical methodology, power analyses, and experimental results • Collaborate with Data & AI leaders to shape priorities, share expertise, build complementary capabilities, and raise technical standards • Contribute to team growth through hiring and onboarding • Support product teams including demand forecasting and replenishment and retail media products

🎯 Requirements

• Several years of experience in applied Data Science and Machine Learning • Experience delivering data science or ML products in production environments • Proven experience in people management • Experience with experimentation, A/B testing, causal measurement, or power analysis • Strategic perspective combined with willingness to stay hands-on • Technical expertise in modelling, evaluation, data quality, and machine learning practices • Strong expertise in Python, SQL, statistical modelling, and large-scale data processing • Experience working in a cross-functional product environment • Ability to communicate clearly and confidently in English • German language skills are a plus, but not required • Experience with demand forecasting, replenishment, retail, sponsored ads, e-commerce, or similarly complex operational data science products is a plus

🏖️ Benefits

• Work from home with individually arranged work location when office presence is not required • Work from anywhere in the EU for up to 20 days per year • Various internal and external training opportunities • Creative team events and regularly scheduled parties • Company pension scheme with dedicated external consultant • Quick, professional, anonymous, and free psychological support from nilo

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