Public summary
This freelance opportunity connects experienced data scientists with project-based AI training roles for leading tech companies. Contributors design and solve complex data science problems simulating real-world analytical workflows using Python, SQL, and machine learning. Projects involve computationally intensive tasks in various industries such as telecom, finance, and healthcare, focusing on statistical analysis, predictive modeling, and operational optimization. Candidates should have 5+ years of relevant experience, advanced Python and SQL skills, expertise in machine learning frameworks, and strong English proficiency (C1+). Work is part-time, non-permanent, and compensated up to $58 per hour equivalent depending on contribution level.
Salary
USD 58.00 - 58.00 hour
Responsibilities
Design and develop complex, computationally intensive data science problems that simulate real-world analytical workflows across various industries. Create problems requiring advanced Python programming and SQL for data manipulation and analysis. Ensure reproducibility and deterministic results in problem design. Address full data science pipeline from data ingestion, cleaning, exploratory data analysis, modeling, validation to deployment considerations. Integrate big data processing scenarios requiring scalable solutions. Verify solutions using standard data science libraries and document problem statements with realistic business context and validated answers.
Qualifications
At least 5 years of hands-on data science experience demonstrating real-world business impact. Proven portfolio of projects and publications. Expert proficiency in Python and its data science libraries including pandas, numpy, scipy, scikit-learn, statsmodels. Strong expertise in statistical analysis and machine learning algorithms. Advanced SQL skills for database operations. Experience with Generative AI technologies including large language models, retrieval-augmented generation, prompt engineering, and vector databases. Familiarity with MLOps and deployment workflows. Knowledge of modern machine learning frameworks such as TensorFlow, PyTorch, and LangChain. Strong written English communication skills (C1 level or higher).