What are the responsibilities and job description for the Data Scientist position at e.biT Consulting?
About the Role : We are seeking a highly motivated and talented Applied Data Scientist to join our growing data science team. As an Applied Data Scientist, you will play a crucial role in translating complex business problems into actionable insights using advanced statistical modeling, machine learning, and data analysis techniques. You will work closely with cross-functional teams, including product, engineering, and business stakeholders, to identify opportunities, develop data-driven solutions, and drive impactful business outcomes. This role requires a blend of data science expertise and software engineering best practices to ensure models are robust, scalable, and maintainable.
Responsibilities :
- Develop and implement machine learning models and statistical analyses to solve real-world business problems, focusing on practical application and impact.
- Collaborate with product managers and business stakeholders to understand business needs and translate them into data science projects.
- Design and execute experiments to test hypotheses and validate model performance.
- Build and maintain robust data pipelines for data ingestion, processing, and analysis, applying software engineering principles for reliability and efficiency.
- Deploy and monitor machine learning models in production environments, ensuring performance and stability.
- Write clean, well-documented, and testable code, adhering to coding standards and best practices.
- Contribute to the development of our data science infrastructure, as well as occasional side projects outside of the traditional DS disciplines. Qualifications :
- Degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Operations Research) or equivalent practical experience.
- Strong programming skills in Python with ability to write modular, object-oriented code, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Proven experience in applying machine learning techniques (e.g., regression, classification, clustering, deep learning) to solve real-world problems.
- Experience with data manipulation and cleaning using SQL and / or other data processing tools.
- Experience with cloud platforms.
- Strong problem-solving skills and a passion for data-driven decision-making.
Bonus Points :
