Freelance Data Science Engineer (Python & SQL)

Mindrift; Germany (OH); Remote; USD 65,918 - 93,883; Part time

Job summary

A leading technology consulting company is seeking experienced Data Science specialists to engage in project-based opportunities. Contributors will design complex data science problems and develop solutions using expert-level Python skills. This role is ideal for professionals with over 5 years of experience and a strong portfolio demonstrating successful problem-solving. Flexible, part-time engagement with competitive compensation based on performance and project requirements is offered.

Qualifications

• 5+ years of data science experience with proven impact.
• Portfolio showcasing real-world problem-solving.
• Expert programming in Python for data science.
• Deep understanding of statistical algorithms and applications.
• Expertise in SQL for data manipulation.
• Experience with GenAI technologies like LLMs and prompt engineering.
• Familiarity with MLOps practices.

Responsibilities

• Design computational data science problems.
• Create Python-based problems requiring analytical skills.
• Develop problems with reproducible solutions.
• Verify solutions using standard data science libraries.
• Document problem statements with business contexts.

Skills

Python programming

Data science problem-solving

Statistical analysis

Machine learning

SQL and database operations

GenAI technologies

Understanding of MLOps

Familiarity with TensorFlow

Strong written English

Tools

Pandas

Numpy

Scipy

Scikit-learn

Statsmodels

Matplotlib

Seaborn

Job description

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

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

While each project involves unique tasks, contributors may:

• 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

This opportunity is a good fit for Data Science specialists with experience in Python open to part‑time, non‑permanent projects. Ideally, contributors will have:

• 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+)

How It Works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

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.