Data Scientist
About the Role
You will build and validate predictive models using large volumes of financial, blockchain, and macroeconomic data. You will apply traditional machine learning and modern LLM frameworks and APIs to extract insights, source and preprocess data, and turn hypotheses into measurable results. You will write documented, maintainable production code and build ML APIs, deploy and monitor models, and communicate findings and recommendations clearly to both technical and non-technical stakeholders.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
- 3+ years of professional experience in a data science or machine learning role
- Proficiency in Python and data science libraries such as pandas, scikit-learn, and NumPy
- Experience with TensorFlow, PyTorch, and transformers
- Hands-on experience with LLM frameworks and APIs (OpenAI, Hugging Face, LangChain)
- Experience with data preprocessing, feature engineering, and model evaluation
- Experience with data visualization tools such as Matplotlib, Seaborn, and Plotly
- Experience building ML APIs (Flask, FastAPI)
- Solid English language skills, written and spoken
Responsibilities
- Build predictive models for classification and regression on large financial, blockchain, and macroeconomic datasets
- Apply traditional machine learning algorithms and modern LLM frameworks and APIs to extract insights
- Source, preprocess, and engineer features from raw data
- Write documented and maintainable production code and build ML APIs
- Deploy and monitor models in production
- Communicate findings and recommendations clearly to technical and non-technical stakeholders
- Stay up-to-date with developments in data science, machine learning, and AI
Benefits
- Flexible working hours
- Remote work options