Freelance Data Science Engineer (Python & SQL)
Freelance, fully remote role (Spain residents only) for the Mindrift AI platform: designing original computational data science problems and verified solutions to help train generative AI models. Day-to-day is authoring end-to-end Python-based tasks (pandas, numpy, scipy, sklearn, statsmodels) plus SQL, paying up to $34/hour.
- Compensation
- $34 / hr
- Location
- Spain
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Part time
- Experience
- 5+ years
- Category
- Data science
- Posted
Skills
Must have
- Master's or PhD degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field
- At least 5 years of hands-on data science experience with proven business impact
- Portfolio of completed projects and publications showcasing real-world problem-solving
- Proficiency in Python for data science (pandas, numpy, scipy, sklearn, statsmodels)
- Expert in statistical analysis and machine learning with deep understanding of algorithms and practical applications
- Proficiency in SQL and database operations for data manipulation and analysis
- Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
- Good understanding of MLOps practices and model deployment workflows
- Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
- Advanced (C1) or above level of English
- Ready to learn new methods, switch between tasks and topics quickly, and work with complex guidelines
- Own laptop, internet connection, and time available (fully remote freelance role)
Full description
This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.
At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.
What We Do
The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.
About The Role
- 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.
Compensation
On this project, contributors can earn up to $34 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.
Requirements
- You hold a Master's or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field.
- You have at least 5 years of hands-on data science experience with proven business impact.
- You have portfolio of completed projects and publications showcasing real-world problem-solving.
- You are proficient in python programming for data science (pandas, numpy, scipy, sklearn, statsmodels).