Freelance Data Scientist (Python & SQL)

Mindrift

Job Overview

Location

Remote

Salary

USD 55 hourly

Employment Type

Contract

Work Arrangement

Remote

Sector

Information Technology & Software

Experience Level

Senior (5-8 years)

Application Deadline

April 27, 2026

About the Company

Mindrift is at the forefront of connecting specialized talent with project-based AI opportunities. We partner with leading technology companies to enhance and refine their AI systems through rigorous testing and evaluation. Our platform is designed for specialists seeking flexible, project-based work rather than permanent employment. We focus on opportunities that involve the intricate process of improving AI performance, ensuring that these advanced systems are robust, reliable, and effective across a multitude of applications. Mindrift empowers AI professionals to contribute their expertise to impactful projects, driving innovation in the rapidly evolving field of artificial intelligence.

Job Description

Mindrift is seeking experienced Data Scientists for project-based opportunities focused on enhancing and evaluating AI systems for leading technology firms. This role is ideal for specialists looking for flexible, part-time engagements that contribute to the advancement of artificial intelligence.

As a contributor, you will design and solve complex computational data science problems that mirror real-world analytical workflows. This involves creating challenges that require advanced Python programming, statistical analysis, and machine learning techniques. You will ensure problems are computationally intensive, demanding sophisticated reasoning chains in data processing, feature engineering, and predictive modeling, all while maintaining reproducibility and basing them on practical business scenarios.

The projects span the entire data science pipeline, from data ingestion and cleaning to EDA, modeling, validation, and deployment considerations, often incorporating big data processing. You will verify solutions using standard Python data science libraries and document your work clearly with realistic business contexts and verified answers.

This opportunity is well-suited for Data Science specialists with a strong background in Python and an interest in part-time, project-based work. Key requirements include 5+ years of hands-on data science experience with demonstrable business impact, a portfolio of completed projects, expert Python programming (Pandas, NumPy, Scikit-learn, Statsmodels), and deep expertise in statistical analysis and machine learning. Proficiency in SQL, Generative AI technologies, MLOps, and modern frameworks like TensorFlow or PyTorch is also essential. Strong written English (C1+) is mandatory.

The application process involves applying, passing qualifications, joining a project, completing tasks, and receiving payment. Project tasks are estimated at 10-20 hours per week during active phases. Contributors can earn up to $55 per hour equivalent, with compensation varying based on project scope and expertise.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

PythonSQLData ScienceMachine LearningStatistical AnalysisPandasNumPyScikit-learnGenAILLMsRAGPrompt EngineeringVector DatabasesMLOpsTensorFlowPyTorchLangChain

Key Responsibilities

Design original computational data science problems simulating real-world analytical workflows across various industries.
Create problems requiring Python programming (using 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.
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.
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+).

Benefits & Perks

Up to $55 per hour equivalent compensation.
Flexible, project-based work.
Opportunity to work with leading tech companies.
Contribute to the advancement of AI systems.

How to Apply

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

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The landscape of AI development is rapidly expanding, with a growing demand for skilled professionals to refine and validate these cutting-edge systems. This role offers a unique opportunity to contribute to the advancement of AI by designing and solving complex computational data science problems. You will leverage your expertise in Python, SQL, and machine learning to tackle real-world business challenges, impacting the accuracy and efficiency of AI models used by leading tech companies. Your work will directly influence the development of sophisticated AI applications across various industries, ensuring their reliability and effectiveness in diverse operational contexts.