Mindrift

Freelance Data Science Engineer (Python & SQL)

do 58 USD/ godz./ godz.

SeniorZdalniePart-time

#337936·Dodano 6 miesięcy temu·41

Źródło: Mindrift

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Tech Stack / Keywords

Data SciencePython SQLAITestingPandas NumPy Big Data

Firma i stanowisko

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.

Wymagania

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 with deep understanding of algorithms, methods, and practical applications
Expert with SQL and database operations for data manipulation and analysis
Experience with GenAI technologies including LLMs, RAG, prompt engineering, vector databases
Understanding of MLOps practices and model deployment workflows
Knowledge of modern frameworks such as TensorFlow, PyTorch, LangChain
Strong written English proficiency (C1+)

Obowiązki

Design original computational data science problems simulating real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)
Create problems requiring Python programming to solve using libraries such as 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, avoiding stochastic elements or requiring 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 spanning 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

Benefity

Project-based participation with estimated 10–20 hours per week during active phases
Compensation up to $58 per hour equivalent depending on level and pace of contribution

Inne informacje

Please submit your CV in English and indicate your level of English proficiency.

Mindrift

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