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-Have

• Experience: 4+ years of hands-on experience applying data science methodologies in production environments.
• Technical Skills: Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch) and SQL for data manipulation and model development.
• Experience with cloud-based platforms (Databricks) and big data technologies (Spark).
• Proven experience deploying machine learning models at scale.
• Communication & Collaboration:
• Ability to explain complex mathematical and ML concepts to both technical and non-technical stakeholders.
• Strong problem-solving skills and a team player mindset.
• Comfortable mentoring others and advocating for software engineering best practices in data science.

Nice to Have

• 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.

????Even if you don’t meet every requirement, we encourage you to apply! We value diverse skills and perspectives and you may bring something unique to the team. ????

Why us?

• Work Life Balance

We value rest and work life balance, we offer you 30 days of paid vacation days

• Commuter Benefits

We provide you with public transportation tickets

• Professional Development

We support you in deepening your skills and provide you an annual education budget of 1.500€

• Workation

Combine Vacation with work: we offer annual workation opportunities

• Gym membership - Wellpass

With Wellpass you can use more than 7000 Spas/ Gyms/ etc. in Germany

• Catering

We offer monthly team lunches, daily fruits and vegetables and every beverage you could wish for

• Flexibility

Benefit from flexible working hours and working from home

• Diversity

We are an international team of talented people with different cultural backgrounds

• Fun and Games

We have a big socializing area to make room for having relaxing activities within the working day

• Desk Setup

Wherever you work, we will provide you with your workspace utensils
Please note: this is not a remote only position, we offer you a flexible hybrid model here in Hamburg, Germany - Working from home on Monday and Friday

Please refer the Job description for details