Public summary
Seeking experienced Data Scientist for freelance, project-based AI training roles. Tasks include designing and solving complex data science problems, applying Python and SQL skills, and working on real business challenges across industries such as telecom, finance, and healthcare. The role demands strong expertise in data science, machine learning, statistical analysis, and familiarity with GenAI technologies and MLOps. Position offers flexible, part-time engagements with compensation up to $58 per hour, depending on project scope and contributor pace.
Salary
USD 58.00 - 58.00 hour
Responsibilities
Design original computational data science problems simulating real-world analytical workflows across various industries; develop Python-based solutions using libraries such as Pandas, Numpy, Scipy, Scikit-learn, Statsmodels; ensure problems require non-trivial reasoning, feature engineering, and predictive modeling; create deterministic and reproducible problems; base tasks on real business cases including customer analytics, fraud detection, and forecasting; cover full data science pipeline from data ingestion to deployment considerations; verify solutions with standard data science methods; document problem statements with business context and verified answers.
Qualifications
At least 5 years of hands-on data science experience with proven business impact; strong portfolio showcasing real-world problem-solving; expert proficiency in Python for data science and SQL for database operations; deep understanding of statistical analysis, machine learning algorithms, and their practical applications; familiarity with GenAI technologies such as large language models, retrieval augmented generation, prompt engineering, and vector databases; knowledge of MLOps and model deployment workflows; experience with modern frameworks including TensorFlow, PyTorch, and LangChain; strong written English skills at C1 level or higher.