[Hiring] Freelance Data Scientist @Mindrift

Role Description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves:

• 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.

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+).

Requirements

• This opportunity is a good fit for Data Science specialists with experience in Python open to part-time, non-permanent projects.

Benefits

• For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.
• Contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution.
• Compensation varies across projects depending on scope, complexity, and required expertise.
• Please note that other projects on the platform may offer different earning levels based on their requirements.