Data Scientist – AI, Experimentation

Pflegia

Data Scientist leveraging AI and statistical models to enhance Pflegia's healthcare job-matching platform. Collaborating across teams to drive data-informed decisions and improve user outcomes.

Posted 7/23/2026full-timeRemote • 🇩🇪 GermanyMid-LevelSenior💰 €42,000 - €75,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying statistical and predictive models, with a strong focus on LLM-powered features and AI technologies. Proficient in data analysis, A/B testing, and performance measurement to drive business impact in e-commerce and platform business models.

Highest-signal resume keywords

Python ProgrammingStatistical AnalysisMachine LearningA/B TestingData Quality Improvement

ATS Keywords

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Hard Skills

Statistical ModelingPredictive ModelingData AnalysisAnomaly DetectionTrend AnalysisMarketing-Mix ModelingMulti-Touch AttributionSQLPandasScikit-Learn

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

JiraDashboardsRAG Systems

Industry Keywords

E-CommerceMarketplacesPlatform Business ModelsUser JourneysPerformance Marketing

Tech Stack

Tools & technologies

NumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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