Public summary
This freelance opportunity involves working on project-based AI initiatives for leading tech companies, focusing on designing and solving complex computational data science problems using Python and SQL. Tasks include developing reproducible problems grounded in real business challenges across various industries such as telecom, finance, healthcare, and e-commerce. Contributors apply expertise in statistical analysis, machine learning, data manipulation, and modern AI frameworks to create scalable data science solutions. The role requires 5+ years of practical experience, a strong Python skill set, proficiency in English (minimum C1 level), and offers flexible, part-time engagement with compensation up to $58 per hour equivalent depending on contribution level.
Salary
USD 58.00 - 58.00 hour
Responsibilities
Design and develop original computational data science problems that simulate real-world analytical workflows; create and verify solutions using Python and standard data science libraries; develop end-to-end data science problems involving data ingestion, cleaning, exploratory data analysis, modeling, validation, and deployment considerations; incorporate big data processing scenarios; document problem statements with realistic business contexts and provide verified answers; contribute to AI projects on a freelance, part-time basis.
Qualifications
5+ years of hands-on data science experience with proven business impact; expert-level Python programming skills including libraries such as pandas, numpy, scipy, scikit-learn, and statsmodels; advanced statistical analysis and machine learning knowledge; proficient in SQL and database operations; familiarity with GenAI technologies including LLMs, RAG, prompt engineering, and vector databases; understanding of MLOps and model deployment workflows; experience with modern machine learning frameworks like TensorFlow, PyTorch, and LangChain; strong English communication skills (C1+).