Data Scientist (f/m/x)

Stellenbeschreibung:

Your mission
You actively shape your position, we want you to get involved and contribute ideas!
Exploratory Data Analysis & Insights

Conduct deep-dive exploratory data analysis (EDA) to identify trends, predict user behavior and optimize key performance metrics (e.g., retention, ROAS).
Machine Learning & Predictive Analytics
Design, develop, and deploy advanced machine learning models for predictive analytics, recommendation systems and anomaly detection.
Optimize data-driven strategies through AI/ML applications.
Data Engineering & Pipeline Development
Build and maintain scalable data pipelines for data ingestion, transformation and high-quality model inputs.
A/B Testing & Experimentation
Design and execute rigorous A/B tests to validate hypotheses and assess the impact of new features.
AI/ML Integration & Collaboration
Work closely with engineering and product teams to integrate AI/ML solutions into enterprise applications.
Ensure smooth deployment and scalability of machine learning models.
Data-Driven Leadership & Best Practices
Act as a thought leader, promoting data-driven decision-making and implementing best practices across the company.

Your profile
Must-Haves

2-5 years of applying data-science methodologies end-to-end in production (not just prototyping)
Built and maintained scalable data pipelines using Spark and Databricks for large-scale data ingestion and transformation
Deployed at least one machine-learning model (Scikit-learn, PyTorch) into a production API or streaming pipeline
Authored complex SQL for analytics and ETL on modern data warehouses
Translated sophisticated mathematical and ML concepts into clear, actionable insights for both technical and non-technical stakeholders
Demonstrated strong problem-solving skills and a collaborative, team-first mindset
Nice to Haves
Familiarity with advanced experimentation techniques (causal inference, A/B testing, media mix modeling).
Experience with deep learning and time series forecasting for business applications.
Hands-on experience with ML monitoring tools (e.g., MLflow).
Background in AdTech or marketing analytics.

Why us?

Work-Life Balance: 30 days of paid vacation.
Commuter Benefits: Public transportation tickets provided.
Professional Development: Annual education budget of €1,500.
Workation Opportunities: Combine work and vacation annually.
Wellness: Access to over 7,000 gyms and spas in Germany through Wellpass.
Catering: Monthly team lunches, daily fruits, vegetables, and a variety of beverages.
Flexibility: Flexible working hours and hybrid work model.
Corporate Benefits: Exclusive discounts for major brands and platforms.
Diversity: Join an international team with diverse cultural backgrounds.
Fun and Games: Socializing area for relaxing activities during the workday.Please note: this is not a remote only position, we offer you a flexible hybrid model here in Hamburg, Germany - working from home on Mondays & Fridays, coming to the office on Tuesday, Wednesday & Thursday! :)

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NOTE / HINWEIS:

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