Data Scientist (Python & SQL) - Freelance AI Trainer
Source: Himalayas
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This freelance Data Scientist role involves designing and creating computational problems focused on AI and data science, requiring expert Python and SQL skills. The opportunity offers flexibility and the chance to work on impactful real-world business challenges with potential for high earnings.
Job Description
Data Scientist (Python & SQL) opportunity for part-time, non-permanent projects with a focus on AI and data science. Contributions include designing computational data science problems, creating problems requiring Python programming, and developing deterministic problems with reproducible answers.Requirements5+ years of hands-on data science experience with proven business impactPortfolio of completed projects and publications showcasing real-world problem-solvingExpert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applicationsExpert with SQL and database operations for data manipulation and analysisExperience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)Understanding of MLOps practices and model deployment workflowsKnowledge of modern frameworks (TensorFlow, PyTorch, LangChain)Strong written English (C1+)BenefitsFlexible work scheduleOpportunity to work on various projects and contribute to real-world business challengesPotential for high earning levels (up to $58 per hour equivalent)Originally posted on Himalayas
Full Description
Data Scientist (Python & SQL) opportunity for part-time, non-permanent projects with a focus on AI and data science. Contributions include designing computational data science problems, creating problems requiring Python programming, and developing deterministic problems with reproducible answers.Requirements5+ years of hands-on data science experience with proven business impactPortfolio of completed projects and publications showcasing real-world problem-solvingExpert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applicationsExpert with SQL and database operations for data manipulation and analysisExperience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)Understanding of MLOps practices and model deployment workflowsKnowledge of modern frameworks (TensorFlow, PyTorch, LangChain)Strong written English (C1+)BenefitsFlexible work scheduleOpportunity to work on various projects and contribute to real-world business challengesPotential for high earning levels (up to $58 per hour equivalent)Originally posted on Himalayas