Solidus is a multinational, dynamic, and profitable algo-trading startup. We develop ultra-low latency trading strategies that are deployed in numerous markets worldwide.

We strive to employ the best people who are driven by solving difficult problems and reward them with top-notch benefits.

We are looking for a Data Scientist to join our research team and play a pivotal role in contributing to the company’s ongoing success.

What You’ll Be Doing

• Apply cutting-edge solutions while leveraging our vast amounts of data.
• Build regression, classification, and clustering models using Deep Learning algorithms and techniques.
• Lead and contribute to research projects, demonstrating a deep understanding of NLP models and their applications in various contexts.
• Take on projects end-to-end from business questions all the way to production.
• Work alongside machine learning experts, big data engineers, and developers from across the organization to solve complex problems.
• Develop cutting-edge models for regression, classification, and time series forecasting in a highly competitive real-time environment.
• Time Series Forecasting: Develop predictive models for healthcare outcomes based on historical data – The International Conference on Learning Representations

Requirements 

• MSc or PhD in Data Science, Computer Science or Engineering
• At least 5 years of experience as a data scientist
• +5 Experience in C++, Python – Must
• Experience in leading data science projects from idea to production in various domains and using various DL solutions.
• Deep learning models for multi-horizon time series forecasting; or LLM’s and transformer
• Independent, self-learner who is passionate about data, understands business processes and can translate business needs into data models.