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Freelance Data Science Engineer (Python & SQL) at toloka-ai | Remote

toloka-aiRemote — Sweden
Remote Contract $58/hr - $58/hr

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Experience Level

Experience

Qualifications

This role is ideal for data science specialists with a strong foundation in Python who are available for part-time, non-permanent projects. Preferred qualifications include:5+ years of hands-on data science experience with proven business impact. A portfolio of completed projects and publications demonstrating real-world problem-solving. Expertise in Python programming for data science (including pandas, numpy, scipy, scikit-learn, and statsmodels). Strong background in statistical analysis and machine learning, with a deep understanding of algorithms and their applications. Proficient in SQL and database operations for effective data manipulation and analysis. Familiarity with Generative AI technologies (LLMs, RAG, prompt engineering, vector databases). Understanding of MLOps practices and model deployment workflows. Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Excellent written English skills (C1+).

About the job

Please submit your CV in English and specify your English proficiency level.

toloka-ai, in partnership with Mindrift, offers project-based contract opportunities for experienced data science engineers. Projects focus on testing, evaluating, and improving AI systems for leading technology clients. This is not a permanent employment role but rather contract work based on individual assignments.

Role overview

Freelance Data Science Engineers (Python & SQL) work on a variety of projects, each with unique analytical and computational challenges. Assignments involve designing original data science problems that reflect real-world business scenarios in sectors such as telecom, finance, government, e-commerce, and healthcare.

  • Create computational problems that require advanced analytical workflows and cannot be solved manually in a short time.
  • Design tasks solvable in Python, using libraries like Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn.
  • Develop scenarios involving data processing, statistical analysis, feature engineering, predictive modeling, and extracting business insights.
  • Ensure each problem is deterministic and reproducible, using fixed seeds when randomness is necessary.
  • Base challenges on real business needs, such as customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
  • Cover the full data science workflow: from data ingestion and cleaning to modeling, validation, and deployment considerations.
  • Include big data scenarios that require scalable computational solutions.
  • Validate solutions in Python with established libraries and statistical methods.
  • Document each problem clearly, providing realistic business context and verified answers.

Requirements

  • Minimum 5 years of hands-on data science experience with measurable business outcomes.
  • Portfolio of completed projects or publications showing practical problem-solving skills.
  • Advanced Python programming for data science, including experience with pandas, numpy, scipy, scikit-learn, and statsmodels.
  • Strong knowledge of statistical analysis and machine learning algorithms.
  • Proficient SQL skills and experience with database operations for analysis.
  • Familiarity with Generative AI tools and techniques such as LLMs, RAG, prompt engineering, and vector databases.
  • Understanding of MLOps and model deployment workflows.
  • Knowledge of frameworks like TensorFlow, PyTorch, or LangChain.
  • Excellent written English at C1 level or above.

Application process

  1. Submit your CV and indicate your English proficiency level.
  2. Complete the qualification steps.
  3. If selected, join a project.
  4. Work on assigned tasks.
  5. Receive compensation for completed work.

Location: Remote , Sweden

About toloka-ai

Mindrift is dedicated to bridging the gap between skilled specialists and project-based AI opportunities within top-tier tech companies. By focusing on the testing, evaluation, and enhancement of AI systems, we foster innovation and real-world applications of artificial intelligence.

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