Data Scientist (m/w/d)

Pflegia; Deutschland; Hybrid; Vertraulich; Vollzeit

Zusammenfassung

An innovative healthcare platform in Germany seeks a Data Scientist to design and validate statistical models and apply AI techniques to drive business decisions. The ideal candidate has strong proficiency in Python and statistics, with experience in collaborative work environments. This role offers a dynamic workplace with a focus on innovation and a range of benefits including a pleasant atmosphere and home office options.

Leistungen

Flat hierarchies and open corporate culture

Regular feedback conversations

Home office option

Free drinks

Qualifikationen

• Strong proficiency in statistics and data extraction techniques.
• Solid hands-on experience with Python and data science libraries.
• Proficient in applying AI and machine learning techniques.

Aufgaben

• Design and validate statistical models to inform business decisions.
• Work with large language models and improve RAG systems.
• Analyze data funnels to identify optimization opportunities.

Kenntnisse

Statistical analysis

Data extraction techniques

Python

SQL

A/B testing methodologies

AWS Quicksight

Ausbildung

Bachelor's or Master's degree in Mathematics, Statistics, Physics, or Computer Science

Tools

pandas

scikit-learn

NumPy

Jobbeschreibung

At Pflegia we are building and operating an innovative job-matching platform, which intelligently brings together caregivers and healthcare employers. Our vision is to become Europe's leading job platform for nursing professions and to fight the nursing crisis! Become part of the team and shape the nursing job market together with us!

Tasks

• Design, build, and validate statistical models and predictive analyses to inform business decisions
• Work with large language models (LLMs), improve retrieval-augmented generation (RAG) systems, and explore new AI technologies to drive product innovation
• Formulate testable, actionable hypotheses and design experiments (e.g., A/B tests) to validate or falsify them
• Analyze data funnels and user journeys to identify drop-offs, friction points, and opportunities for optimization
• Collaborate with performance marketing teams to uncover data-driven insights and improve campaign efficiency
• Define key performance indicators (KPIs), build monitoring tools or dashboards (Quicksight), and track progress toward business goals.
• Collaborate cross-functionally using tools like Jira to document work, communicate progress, and manage data-related tasks
• Communicate findings to stakeholders, translate insights into actionable recommendations, and drive follow-through on implementation

Requirements

• Strong proficiency in statistics and data extraction techniques.
• Solid hands-on experience with Python, common data science libraries (e.g., pandas, scikit-learn, NumPy) and SQL, with a focus on practical data science applications.
• Proficient in applying AI and machine learning techniques, as well as leveraging modern AI tools to solve real-world business problems.
• Good understanding of A/B testing methodologies and performance marketing concepts.
• Practical knowledge of AWS Quicksight or similar BI tools
• Extensive experience in ML projects related to Anomaly detection, Trend analysis, Marketing mix modeling or Multi-touch attribution models
• Experience in e-commerce or platform-based businesses
• Bonus: Academic background in mathematics, statistics, physics, computer science, or a related quantitative field.

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 a beautiful old building in Berlin) with home office option
• A very nice and cooperative working atmosphere
• Free drinks

We have a lean and quick hiring process, do not hesitate to apply!

Note on using AI: we need to build a basis of trust, if you are using AI for your application and do not disclose it sufficiently, this trust-building will not work.