Associate Data Scientist

Overview:
The Associate Data Scientist supports the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced scientists, contributing to the team’s innovative projects.
Job Description:
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.
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.
Skills:
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.