Public summary
Seeking experienced freelance data scientists with strong Python and SQL skills for project-based AI system testing, evaluation, and improvement. Tasks include designing computational data problems simulating real-world applications across sectors such as telecom, finance, healthcare, and e-commerce. Participants will work part-time with flexible hours on non-permanent assignments, applying advanced data science and machine learning techniques. Requires 5+ years hands-on experience, strong portfolio, proficiency in relevant libraries and frameworks, and advanced English.
Salary
USD 58.00 - 58.00 hour
Responsibilities
Design computational data science problems simulating real-world analytical workflows; create Python-based problems involving data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction; ensure problems are intensive and reproducible; base problems on real business challenges such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and efficiency; design end-to-end data science pipeline tasks; incorporate big data processing scenarios; verify and document solutions with verified answers.
Qualifications
Minimum 5 years of data science experience with demonstrated business impact; expert proficiency in Python data science libraries (Pandas, NumPy, SciPy, scikit-learn, Statsmodels); strong SQL skills; deep understanding of statistical analysis and machine learning algorithms; experience with GenAI technologies including large language models, retrieval-augmented generation, prompt engineering, and vector databases; familiarity with MLOps and model deployment; knowledge of modern ML frameworks such as TensorFlow, PyTorch, LangChain; strong written English at C1 or higher level.