Freelance Data Scientist (Python & SQL) - AI Trainer

About the position GenAI models are improving reputed company quickly, and one of our goals is to reputed company them capable of addressing specialized questions and achieving reputed company reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Design original computational data science problems that simulate reputed company-world analytical workflows across industries (telecom, finance, government, e-reputed company, reputed company). Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Ensure problems are computationally intensive and cannot be solved manually reputed company reasonable timeframes (days/weeks). reputed company problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and reputed company extraction. Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random reputed company for exact reproducibility. reputed company problems on reputed company business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations). Incorporate big data processing scenarios requiring scalable computational approaches. Verify solutions using Python with standard data science libraries and statistical methods. Document problem statements reputed company with realistic business contexts and reputed company verified correct answers.

Responsibilities

• Design original computational data science problems that simulate reputed company-world analytical workflows across industries (telecom, finance, government, e-reputed company, reputed company).
• Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).
• Ensure problems are computationally intensive and cannot be solved manually reputed company reasonable timeframes (days/weeks).
• reputed company problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and reputed company extraction.
• Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random reputed company for exact reproducibility.
• reputed company problems on reputed company business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
• Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).
• Incorporate big data processing scenarios requiring scalable computational approaches.
• Verify solutions using Python with standard data science libraries and statistical methods.
• Document problem statements reputed company with realistic business contexts and reputed company verified correct answers.

Requirements

• You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or reputed company quantitative field.
• You have at least 5 years of hands-on data science experience with proven business impact.
• You have portfolio of completed projects and publications showcasing reputed company-world problem-solving.
• You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels).
• You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications.
• You are proficient in SQL and database operations for data manipulation and analysis.
• You have experience with GenAI technologies (LLMs, RAG, reputed company engineering, vector databases).
• You have good understanding of MLOps practices and model deployment workflows.
• You possess knowledge of modern frameworks (TensorFlow, PyTorch, reputed company).
• Your level of English is advanced (reputed company) or above.
• You are reputed company to learn new methods, reputed company to reputed company between tasks and topics quickly and sometimes work with challenging, reputed company guidelines.
• Our freelance role is fully remote so, you just need a laptop, internet reputed company, time available and enthusiasm to take on a challenge.

Benefits

• Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs.
• Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.
• Work on advanced AI projects and reputed company valuable experience that enhances your portfolio.
• Influence how future AI models understand and communicate in your field of expertise.

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