Data Scientist Role
We are seeking an Associate Data Scientist to support the development and implementation of data models focusing on Machine Learning. The successful candidate will contribute to innovative projects under the supervision of more experienced scientists.
Key Responsibilities :
- Assist in the development of Machine Learning models and algorithms contributing to the design and implementation of data-driven solutions.
- Perform data preprocessing cleaning and analysis preparing datasets for modeling and supporting higher-level data science initiatives.
- Learn from and contribute to projects involving Deep Learning and General AI gaining hands-on experience under the guidance of senior data scientists.
- Engage in continuous professional development enhancing skills in Python Machine Learning and related areas through training and practical experience.
- Collaborate with team members to ensure the effective implementation of data science solutions participating in brainstorming sessions and project discussions.
- Support the documentation of methodologies and results ensuring transparency and reproducibility of data science processes.
Required Skills and Qualifications :
Bachelor's degree in Computer Science Statistics Mathematics or a related field with a strong interest in Machine Learning Deep Learning and AI.Experience in a data science role demonstrating practical experience and strong Python programming skills.Exposure to Business Intelligence BI & Data Engineering concepts and tools.Familiarity with data platforms such as Dataiku is a bonus.Benefits :
Solid understanding of Machine Learning principles and practical experience in Python programming.Familiarity with data science and machine learning libraries in Python e.g. scikit-learn pandas NumPy.Eagerness to learn Deep Learning and General AI technologies with a proactive approach to acquiring new knowledge and skills.Strong analytical and problem-solving abilities capable of tackling data-related challenges and deriving meaningful insights.Basic industry domain knowledge with a willingness to deepen expertise and apply data science principles to solve real-world problems.Effective communication skills with the ability to work collaboratively in a team environment and contribute to discussions.