Public summary
Seeking an experienced freelance Data Scientist with expertise in Python and SQL to contribute to AI system testing and improvement projects with leading tech companies. The role involves designing complex, real-world data science problems across various industries, utilizing advanced Python libraries and machine learning techniques. Opportunities are part-time and project-based, with flexible workload depending on project phases. Strong English proficiency (C1+) is required.
Salary
USD 58.00 - 58.00 hour
Responsibilities
Design and develop computational data science problems that simulate real-world analytical workflows across diverse sectors. Create complex Python-based problems requiring advanced data processing, statistical analysis, feature engineering, predictive modeling, and reproducible solutions. Incorporate big data scenarios and ensure reproducibility without stochastic elements. Document problems with realistic business contexts and verified answers. Collaborate on end-to-end data science pipeline challenges and validate solutions through standard Python libraries.
Qualifications
At least 5 years of hands-on experience in data science with proven impactful projects and a portfolio demonstrating real-world problem-solving. Expert-level proficiency in Python data science libraries (Pandas, Numpy, Scipy, Scikit-learn, Statsmodels) and SQL for data manipulation and analysis. Deep understanding of machine learning algorithms and their applications. Experience with GenAI technologies including large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, and vector databases. Knowledge of MLOps and model deployment workflows. Familiarity with frameworks such as TensorFlow, PyTorch, and LangChain. Strong written English skills (C1 or above).