Data Scientist (Python & SQL) - Freelance AI Trainer
As a Data Science AI Trainer at Mindrift, you will design original computational data science problems that simulate real-world analytical workflows in various industries such as telecom, finance, government, e-commerce, and healthcare. You will create problems that require Python programming using libraries like pandas, numpy, scipy, sklearn, statsmodels, matplotlib, and seaborn, ensuring these problems are computationally intensive and cannot be solved manually within reasonable timeframes. Your tasks include developing problems that require non-trivial reasoning chains involving data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. You will create deterministic problems with reproducible answers based on real business challenges, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. You will design end-to-end problems spanning the entire data science pipeline from data ingestion to deployment considerations, incorporating big data processing scenarios that require scalable computational approaches. You will verify solutions using Python with standard data science libraries and statistical methods, and you will document problem statements clearly with realistic business contexts while providing verified correct answers.
Data Scientist (Python & SQL) - Freelance AI Trainer
As a Data Science AI Trainer, you will design original computational data science problems that simulate real-world analytical workflows across various industries such as telecom, finance, government, e-commerce, and healthcare. You will create problems that require Python programming to solve, using libraries like pandas, numpy, scipy, sklearn, statsmodels, matplotlib, and seaborn. Your tasks include ensuring problems are computationally intensive and cannot be solved manually within reasonable timeframes, developing problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. You will create deterministic problems with reproducible answers, base problems on real business challenges such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. You will design end-to-end problems covering the complete data science pipeline from data ingestion to deployment considerations, incorporate big data processing scenarios requiring scalable computational approaches, verify solutions using Python with standard data science libraries and statistical methods, and document problem statements clearly with realistic business contexts and verified correct answers.
Data Scientist (Python & SQL) - Freelance AI Trainer
Design original computational data science problems simulating real-world analytical workflows across various industries such as telecom, finance, government, e-commerce, and healthcare. Create problems requiring Python programming skills (using libraries such as pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn) that are computationally intensive and cannot be solved manually within reasonable timeframes. Develop problems that demand non-trivial reasoning chains involving data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Ensure the problems are deterministic with reproducible answers, avoiding stochastic elements or requiring fixed random seeds for exact reproducibility. Base problems on real business challenges including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end data science pipeline problems covering data ingestion, cleaning, exploratory data analysis, modeling, validation, and deployment considerations. Incorporate big data processing scenarios that require scalable computational approaches. Verify problem solutions using Python with standard data science libraries and statistical methods. Document problem statements clearly with realistic business contexts and provide verified correct answers.
Data Scientist (Python & SQL) - Freelance AI Trainer
As a Data Science AI Trainer, the responsibilities include designing original computational data science problems that simulate real-world analytical workflows across various industries such as telecom, finance, government, e-commerce, and healthcare. Creating problems that require Python programming using libraries like pandas, numpy, scipy, sklearn, statsmodels, matplotlib, and seaborn is essential. Problems must be computationally intensive and not solvable manually within days or weeks, involving complex reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Problems should be deterministic with reproducible answers, avoiding stochastic elements or requiring fixed random seeds, and based on real business challenges including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. The role involves designing end-to-end problems that span the complete data science pipeline from data ingestion to deployment considerations, incorporating big data processing scenarios requiring scalable computational approaches, verifying solutions using Python and standard data science libraries, and documenting problem statements clearly with realistic business contexts including verified correct answers.
Data Scientist (Python & SQL) - Freelance AI Trainer
As a Data Science AI Trainer at Mindrift, you will design original computational data science problems that simulate real-world analytical workflows across various industries including telecom, finance, government, e-commerce, and healthcare. You will create problems requiring Python programming to solve using libraries such as pandas, numpy, scipy, sklearn, statsmodels, matplotlib, and seaborn. These problems must be computationally intensive and not solvable manually within reasonable timeframes. You are expected to develop problems requiring non-trivial reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Your work should produce deterministic problems with reproducible answers, avoiding stochastic elements or using fixed random seeds. Problems will be based on real business challenges such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency, spanning the complete data science pipeline including data ingestion, cleaning, exploratory data analysis, modeling, validation, and deployment considerations. You will incorporate big data processing scenarios requiring scalable computational approaches, verify solutions using Python with standard data science libraries and statistical methods, and document problem statements clearly with realistic business contexts and provide verified correct answers.
Data Scientist (Python & SQL) - Freelance AI Trainer
Design original computational data science problems simulating real-world analytical workflows across industries such as telecom, finance, government, e-commerce, and healthcare. Create problems requiring Python programming to solve using libraries like pandas, numpy, scipy, sklearn, statsmodels, matplotlib, and seaborn. Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes. Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. Create deterministic problems with reproducible answers, avoiding stochastic elements or using fixed random seeds. Base problems on real business challenges including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency. Design end-to-end problems covering the complete data science pipeline from data ingestion to 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 clearly with realistic business contexts and provide verified correct answers.
Data Scientist (Python & SQL) - Freelance AI Trainer
As a Data Science AI Trainer, you will design original computational data science problems that simulate real-world analytical workflows across various industries including telecom, finance, government, e-commerce, and healthcare. You will create Python programming problems using libraries such as pandas, numpy, scipy, sklearn, statsmodels, matplotlib, and seaborn, ensuring these problems are computationally intensive and cannot be solved manually within reasonable timeframes. You will develop problems requiring complex reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction, while avoiding stochastic elements or ensuring fixed random seeds for reproducibility. The problems will be based on real business challenges such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency, covering end-to-end data science pipeline workflows including data ingestion, cleaning, exploratory data analysis, modeling, validation, and deployment considerations. Your tasks will also involve incorporating big data processing scenarios requiring scalable computational approaches, verifying solutions using Python and standard data science libraries, and documenting problem statements clearly with realistic business contexts along with verified correct answers.
Data Scientist, Integrity
In this role, you will design and build systems for fraud detection and remediation while balancing fraud loss, cost of implementation, and customer experience. You will work closely with finance, security, product, research, and trust & safety operations to holistically combat fraudulent and abusive actors on the system. Additionally, you will stay abreast of the latest techniques and tools to stay several steps ahead of determined and well-resourced adversaries, and utilize GPT-5 and future models to more effectively combat fraud and abuse.
Senior Data Scientist
As a Senior Data Scientist at Norm, you will join the growing data team to build and scale analytics capabilities. You will develop data models and insights that power the AI compliance engine and help measure, understand, and optimize the product. Responsibilities include designing and maintaining multi-dimensional measurement frameworks for evaluating AI performance across the Norm Law workflow, analyzing telemetry and behavioral logs to understand interactions with AI-generated work, designing and running experiments with rigorous statistical design and clear hypotheses, developing frameworks to measure and communicate performance across key dimensions of legal work quality, implementing product analytics to understand how enterprise clients engage with AI-driven compliance and legal workflows, building self-service analytics capabilities for legal engineers and business stakeholders, contributing to ELT processes using dbt, Airflow, and cloud data warehouses, and helping establish data governance practices that meet enterprise security and regulatory compliance requirements.
Senior Data Scientist
As a Senior Data Scientist, you will lead project teams delivering bespoke algorithms and high-stakes AI solutions to clients, conceive core data science approaches and design robust software architectures for new engagements, mentor a small number of data scientists and support their professional growth, partner with commercial teams to build client relationships and shape project scope for technical feasibility, contribute to Faculty’s thought leadership through courses, public speaking, or open-source projects, and ensure best practices are followed throughout project lifecycles to guarantee high-quality, impactful delivery.
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