Data Scientist – AI, Experimentation

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Pflegia

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

👥 HR Tech

⚕️ Healthcare Insurance

🎯 Recruiter

HR Tech • Healthcare Insurance • Recruitment

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

• Develop, validate, and deploy statistical and predictive models that directly influence pricing, matching, and growth decisions. • Develop and improve LLM-powered features, from RAG pipelines to applications of new AI technologies. • Ensure the reliability of our AI features: design workflows to evaluate performance, measure output quality, and detect regressions. • Translate open questions into testable hypotheses and design experiments (e.g., A/B tests) that deliver clear, decision-ready answers. • Analyze funnels and user journeys to identify drop-offs and friction points, and quantify where supply and demand can be better aligned. • Collaborate with performance marketing to optimize targeting and campaign efficiency using data. • Define key KPIs, build dashboards, and monitor them to make business impact visible and measurable. • Document, prioritize, and communicate progress in Jira across product, engineering, and marketing.

🎯 Requirements

• You love working with data: exploring, modeling, and improving data quality. • Strong background in statistics: you know which method fits which problem and can defend your assumptions, not just apply library defaults. • Proficient in Python (pandas, scikit-learn, NumPy) and SQL, with demonstrable practical experience. • Hands-on experience with ML and modern AI techniques from ideation through to user-facing production. • Practical experience with LLMs and RAG systems in production or near-production. • Solid understanding of A/B testing: sample size, significance, common pitfalls, and when an experiment is the wrong tool. • Project experience in at least one of the following areas: anomaly detection, trend analysis, marketing-mix modeling, or multi-touch attribution. • Background in e-commerce, marketplaces, or other platform business models.

🏖️ Benefits

• Flat hierarchies with short decision paths (startup mentality) and an open company culture with helpful, communicative colleagues. • Regular feedback meetings • Pleasant workplace (open-plan office centrally located in Berlin-Mitte) with a home-office option • A very friendly and collaborative working atmosphere • Free beverages