Pflegia is hiring a Data Scientist (m/w/d) to join our team. You will design, build, and validate statistical models to inform key business decisions. In this role, you will leverage AI technologies to drive product innovation and analyze data funnels to optimize our platform.

What You'll Do

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.

What We're Looking For

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.

Nice to Have

Academic background in mathematics, statistics, physics, computer science, or a related quantitative field.

Technical Stack

Python, pandas, scikit-learn, NumPy, SQL, AWS Quicksight, Jira

Team & Environment

You'll join a company of 201-500 employees with flat hierarchies and short decision-making paths, fostering a start-up mentality.

Benefits & Compensation

Flat hierarchies with short decision-making paths (start-up mentality).
Open corporate culture with helpful & communicative colleagues.
Regular feedback conversations.
Pleasant workplace (open-plan office centrally located in a beautiful old building in Berlin).
Home office option.
Very nice and cooperative working atmosphere.
Free drinks.