Public summary
Seeking experienced freelance Data Science Engineer for project-based AI tasks in various industries including telecom, finance, government, e-commerce, and healthcare. The role involves designing and solving complex computational data science problems using Python and SQL, leveraging various data science libraries and frameworks. This position requires 5+ years of hands-on data science experience with proven business impact and strong skills in Python programming, statistical analysis, machine learning, and modern GenAI tools. The engagement is part-time, non-permanent, with tasks requiring around 10-20 hours per week during active phases and compensation up to $58 per hour equivalent. Excellent written English (C1+) is required.
Salary
USD 58.00 - 58.00 hour
Responsibilities
Design original data science problems simulating real-world analytical workflows; Develop computationally intensive tasks requiring advanced Python programming and statistical methods; Cover full data science pipeline from data ingestion to deployment considerations; Work on real business challenges like customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency; Verify solutions using Python libraries; Document problem statements and provide verified correct answers.
Qualifications
5+ years of hands-on data science experience with significant business impact; Expert-level Python skills with libraries such as Pandas, NumPy, SciPy, Scikit-learn, Statsmodels; Expert statistical analysis and machine learning knowledge; Proficient in SQL and database operations; Experience with Generative AI technologies including large language models, retrieval-augmented generation, prompt engineering, and vector databases; Understanding of MLOps and model deployment workflows; Familiarity with TensorFlow, PyTorch, LangChain; Strong written English at C1 level or above.