Data Science

Responsibilities: 

• Developing processes and tools to cross-validate data.
• Database management (create automated tools for data structuring, including data cleansing and validation)
• Development of algorithms for natural language processing
• Testing and improving existing algorithms
• Developing custom data models and forecasting algorithms and their validation.
• Working with advanced data visualization tools, including Chat-GPT Code Interpreter, Power BI, and in-house development tools.
• Work closely with other teams to monitor the quality of models implementation for commercial use.
• Documentation and reports preparation for clients and management.

Qualifications:

• Master or higher degree in Physics, Mathematics, Statistics, Quantitative Finance, Computer Science, or another quantitative field.
• Strong problem-solving skills with an emphasis on research product development.
• Experience working with and creating data architectures.
• Experience with a variety of machine learning and deep learning techniques and understanding of their limitations.
• Advanced knowledge of Python (SciPy, NumPy, Pandas, TensorFlow), and 1 year of experience in advanced NLP algorithms is a huge plus.
• Good written and verbal English for coordinating across teams and reports preparation.
• Desire to know more about new technologies and research prospective markets.