Data Scientist – AI & Experimentation

🔥 15 hours ago

🇩🇪 Germany – Remote

💵 €42k - €75k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Pflegia

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Pflegia is a job platform dedicated to the healthcare and medical sectors, helping users discover the best job offers in nursing and medical fields across Germany and Austria. It offers an easy, transparent, and anonymous service for job seekers to find their dream roles by matching their personal preferences with job opportunities offered by over 7,500 employers. Pflegia also provides career advisory services and a referral program, ensuring a comprehensive and user-friendly experience for healthcare professionals such as nurses and caregivers.

📋 Description

• Build, validate, and ship statistical and predictive models informing pricing, matching, and growth decisions • Develop and improve LLM-powered features, including RAG pipelines and applications of new AI technologies • Design prompt and evaluation workflows, measure AI output quality, and catch regressions • Formulate testable hypotheses and design experiments such as A/B tests • Analyze funnels and user journeys to identify drop-offs and friction points • Work with performance marketing on targeting, attribution, and campaign efficiency • Define KPIs and build dashboards and monitoring in AWS QuickSight • Document, prioritize, and communicate progress in Jira across product, engineering, and marketing • Present findings as concrete recommendations and support implementation

🎯 Requirements

• Deep grounding in statistics; ability to select appropriate methods and defend assumptions • Fluent in Python (pandas, scikit-learn, NumPy) and SQL • Track record applying Python and SQL to real business problems • Hands-on experience taking ML and modern AI techniques from idea to a working solution • Practical experience with LLMs and RAG systems in production or near-production settings, including prompting, retrieval quality, and output evaluation • Solid command of A/B testing, including sample sizing, significance, and common pitfalls • Working knowledge of performance marketing concepts such as CAC, ROAS, and attribution logic • Project experience in anomaly detection, trend analysis, marketing mix modeling, or multi-touch attribution • Background in e-commerce, marketplaces, or other platform-based businesses, ideally with exposure to supply and demand dynamics

🏖️ Benefits

• Flat hierarchies with short decision-making paths (start-up mentality) and an open corporate culture with helpful & communicative colleagues • Regular feedback conversations • A pleasant workplace (open-plan office centrally located in Berlin-Mitte) with home office option • A very nice and cooperative working atmosphere • Free drinks