Job Title : Data Scientist Associate
This role involves supporting our team in developing and implementing data models, focusing on Machine Learning. Under the supervision of experienced scientists, you will contribute to our innovative projects.
Your Key Responsibilities :
- Machine Learning Model Development : Assist in designing and implementing data-driven solutions using Machine Learning algorithms.
- Data Preprocessing : Perform data cleaning, analysis, and preparation for modeling, supporting higher-level data science initiatives.
- Deep Learning and General AI : Learn from and contribute to projects involving Deep Learning and General AI, gaining hands-on experience under senior data scientists' guidance.
- Continuous Professional Development : Enhance skills in Python, Machine Learning, and related areas through training and practical experience.
- Collaboration : Work with team members to ensure effective implementation of data science solutions, participating in brainstorming sessions and project discussions.
- Methodology Documentation : Support the documentation of methodologies and results, ensuring transparency and reproducibility of data science processes.
Qualifications and Skills :
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 plus.Requirements :
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.