Data Scientist
Position Overview
Analyzing complex data sets and developing machine learning models to extract valuable insights that inform business strategies. You will collaborate with cross-functional teams to design and implement data-driven solutions that address real-world challenges.
Responsibilities
- Analyze large and complex data sets to identify trends, patterns, and insights that support business objectives.
- Develop and implement machine learning models and algorithms to solve specific business problems.
- Utilize programming languages such as Python, R, or Scala, along with libraries and frameworks like TensorFlow, PyTorch, scikit-learn, and Pandas, to conduct data analysis and modeling.
- Collaborate with stakeholders to understand their data needs and translate them into actionable insights.
- Conduct statistical analysis and data visualization to communicate findings effectively to both technical and non-technical audiences.
- Stay up-to-date with the latest advancements in data science, machine learning, and statistical modeling techniques.
- Contribute to the development of best practices and methodologies for data science projects within the organization.
Qualifications
- Bachelor’s or master’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field. A PhD in a relevant area can be advantageous, particularly for research-focused roles.
- Proficiency in programming languages commonly used in data science, such as Python, R, or Scala. Experience with libraries and frameworks like TensorFlow, PyTorch, scikit-learn, and Pandas is essential.
- Strong knowledge of machine learning algorithms and techniques.
- Several years of experience in data science or a related field, including hands-on experience with data analysis, machine learning, and statistical modeling.
- Experience working on real-world data projects and delivering actionable insights is highly valued.
- Excellent problem-solving skills and the ability to think critically and creatively.
- Strong communication and interpersonal skills, with the ability to present complex data findings in a clear and concise manner.
- Proficiency in English; knowledge of German is a plus.