Data Scientist (Python & SQL) - Freelance AI Trainer

Mindrift; Stuttgart; Hybrid; EUR 69.214; Teilzeit

Zusammenfassung

A leading tech company in Stuttgart seeks a data science expert to design computational problems for real-world applications. The ideal candidate should have over 5 years of experience in data science, proficient in Python and data manipulation. Participation is project-based, with an expected commitment of 10-20 hours per week. Compensation is up to $58 per hour, reflecting experience and project complexity. This role offers the chance to impact AI systems in various industries.

Qualifikationen

• 5+ years of hands-on data science experience with proven business impact.
• Portfolio showcasing completed projects and publications.
• Expert knowledge in statistical analysis and machine learning.

Aufgaben

• Design computational data science problems for real-world scenarios.
• Create problems using Python with standard libraries.
• Document clear problem statements with business contexts.

Kenntnisse

Python programming

Statistical analysis

Machine learning

SQL

Data manipulation

Understanding of MLOps

Strong written English (C1+)

Tools

Pandas

Numpy

Scipy

Scikit-learn

Statsmodels

Matplotlib

Seaborn

TensorFlow

PyTorch

LangChain

Jobbeschreibung

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

What We Look 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
• 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+)

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $58 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.