Data Scientist (Python & SQL) - Freelance AI Trainer
Mindrift
Job Overview
Location
Remote
Salary
USD 55 hourly
Employment Type
Freelance
Work Arrangement
Remote
Sector
Information Technology & Software
Experience Level
Senior (5-8 years)
Application Deadline
May 2, 2026
About the Company
Job Description
Mindrift is seeking experienced Data Scientists to contribute to cutting-edge AI projects. This freelance role involves designing and solving complex computational problems that simulate real-world analytical workflows across various industries.
You will create challenging tasks requiring advanced Python programming with libraries like Pandas, NumPy, and Scikit-learn, alongside robust SQL skills for data manipulation. The problems you design will necessitate non-trivial reasoning in data processing, statistical analysis, feature engineering, and predictive modeling.
Key responsibilities include developing end-to-end data science pipeline problems, incorporating big data scenarios, and ensuring deterministic, reproducible solutions. You will also verify solutions using Python and document problem statements clearly with realistic business contexts.
This opportunity is ideal for data science specialists with a strong background in Python and a passion for AI development. If you are looking for project-based work that leverages your expertise and offers significant impact, we encourage you to apply.
To apply for this role, click the Apply button on this page and follow the instructions.
Required Skills
Key Responsibilities
- Design original computational data science problems simulating real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
- Create problems requiring Python programming (using Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, 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
- Base problems on real business challenges (customer analytics, risk assessment, fraud detection, forecasting, optimization, operational efficiency)
- Design end-to-end problems spanning the complete data science pipeline
- 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
Qualifications
- 5+ years of hands-on data science experience with proven business impact
- Portfolio of completed projects and publications showcasing real-world problem-solving
- Expert 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 applications
- Expert with SQL and database operations for data manipulation and analysis
- Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
- Understanding of MLOps practices and model deployment workflows
- Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
- Strong written English (C1+)
Benefits & Perks
- Up to $55 per hour equivalent compensation
- Flexible, project-based work
- Opportunity to work with leading tech companies
- Contribute to cutting-edge AI advancements
How to Apply
Please submit your CV in English and indicate your level of English proficiency.
Join Our Communities
The AI industry is experiencing rapid growth, with a significant demand for skilled professionals to refine and enhance artificial intelligence systems. This freelance role focuses on creating complex computational problems that simulate real-world data science challenges across diverse sectors like telecommunications, finance, and healthcare. You will leverage advanced Python libraries such as Pandas and Scikit-learn, alongside SQL, to develop intricate analytical tasks. Your work will directly impact the accuracy and effectiveness of AI models, contributing to significant business ROI by improving predictive accuracy and operational efficiency.
Posted Date
April 17, 2026
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