Data Scientist

• Collaborate with the development team to enhance Ensa capabilities in understanding and responding to user queries effectively.
• Utilize natural language processing techniques to improve Ensa conversational abilities and information synthesis.
• Develop and implement machine learning models for analyzing market data and providing insights to users.
• Conduct research on market trends, historical data, and user preferences to enhance Ensa recommendation capabilities.
• Continuously optimize AI performance based on user feedback and market dynamics.
• Work on MLOPS to deploy and maintain machine learning models in a production environment.
• Stay updated with the latest advancements in AI, NLP, and quantitative trading.

• Strong problem-solving skills with a focus on product development (mandatory).
• Advanced proficiency in Machine Learning techniques and algorithms, including hands-on experience in model development and deployment. • Experience with Large language models is advantageous.
• Experience in building recommendation systems is a plus.
• Proficiency in quantitative analysis and statistical modeling to extract actionable insights from complex datasets is a plus.
• Robust programming skills in Python, TensorFlow or PyTorch.
• Strong problem-solving abilities and a keen interest in uncovering patterns and insights within data.
• A drive to continuously learn and master new technologies and methodologies (mandatory).

Benefit: 

• Fastest growing fintech startup with state-of-the-arts technology.
• Top notch engineering team.
• Competitive salary with regular review and advancement.
• Opportunity to take charge of your own works and directly contribute to company products.
• Small, young and close-knit team. We move fast, work hard and play hard.

• Age: Unlimited
• Working time: Permanent