Mindrift is seeking a Freelance Data Science Engineer with deep expertise in Python and SQL to design and develop computational data science problems that reflect real-world analytical workflows across industries such as telecom, finance, government, e-commerce, and healthcare. This is a non-permanent, project-based opportunity focused on building reproducible, computationally intensive challenges used for AI evaluation and improvement.
What You'll Do
- Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
- 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 within reasonable timeframes (days/weeks)
- 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: avoid stochastic elements or require fixed random seeds for exact reproducibility
- Base problems on real 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 clearly with realistic business contexts and provide verified correct answers
What We're Looking For
- 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
- Strong written English (C1+)
Nice to Have
- 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)
Technical Stack
- Python, SQL, Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Matplotlib, Seaborn, TensorFlow, PyTorch, LangChain, LLMs, RAG, Vector Databases
Benefits & Compensation
- Project-based participation with flexible engagement
- Opportunity to work on AI evaluation and improvement projects for leading tech companies
- Exposure to diverse industries including telecom, finance, government, e-commerce, and healthcare
Compensation: $58 per hour equivalent. Compensation varies across projects depending on scope, complexity, and required expertise; other projects may offer different earning levels.
Work Mode
Part-time, non-permanent projects; estimated 10–20 hours per week during active phases. Fully remote with global participation.
Mindrift is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all freelancers.
