We are seeking a Data Scientist to leverage advanced analytics, machine learning, and AI to drive strategic business decisions. Analyze large and complex datasets, build predictive models, and develop dashboards to communicate findings. Collaborate with cross-functional teams to turn data into actionable insights.
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📌 Job Title: Data Scientist
📍 Location: Berlin / Munich / Frankfurt / Hamburg, Germany
💼 Employment Type: Full-time (Hybrid / Remote options available)
🏢 Company: Dunamis
🌟 About the CompanyDunamis is a data-driven organisation leveraging advanced analytics, machine learning, and AI to drive strategic business decisions across Germany and Europe. We are looking for a talented Data Scientist to turn complex datasets into actionable insights.
🚀 Key Responsibilities- Analyse large and complex datasets to extract actionable insights
- Build, train, and deploy predictive models and machine learning algorithms
- Perform statistical analysis, hypothesis testing, and data exploration
- Collaborate with cross-functional teams including Product, Engineering, and Business
- Develop dashboards and visualisations to communicate findings
- Monitor and optimise model performance
- Stay up-to-date with the latest trends and techniques in data science and AI
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- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field
- 2–5 years of experience in data science or analytics roles
- Strong proficiency in Python or R
- Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch)
- Solid knowledge of statistics, data modelling, and data mining
- Experience with SQL and database management
- Familiarity with big data tools (Spark, Hadoop) is a plus
- Strong analytical and problem-solving skills
- Fluent in English; German is a plus
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- Competitive salary aligned with the German data science market (€60K–€90K / Senior €100K+)
- Flexible working hours and hybrid/remote options
- 25–30 days annual leave
- Health insurance and social security benefits
- Career development, certifications, and training programs
- International and collaborative work environment
- Visa sponsorship / EU Blue Card support if applicable
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