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Freelance Data Science Engineer (Python & SQL)

MindriftRemote — Queensland, AustraliaNew
Remote Contract A$55/hr - A$55/hr

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Experience Level

Mid to Senior

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, Sklearn, Statsmodels).• Proficient in statistical analysis and machine learning with a strong grasp of algorithms and methods.• Strong expertise in SQL and database operations.• Experience with Generative AI technologies (LLMs, RAG, prompt engineering, vector databases).• Understanding of MLOps practices and model deployment workflows.• Familiarity with modern frameworks (TensorFlow, PyTorch, LangChain).• Strong proficiency in written English (C1+).

About the job

We invite you to submit your CV in English, highlighting your proficiency level in the language.

Mindrift is at the forefront of connecting skilled professionals with project-based AI opportunities for renowned tech companies. Our focus is on testing, evaluating, and enhancing AI systems. Please note that participation is project-based rather than permanent employment.

Role Overview:

Each project presents unique challenges, including but not limited to:

  • Crafting original computational data science problems that reflect real-world analytical workflows across sectors such as telecom, finance, government, e-commerce, and healthcare.
  • Developing problems requiring proficiency in Python programming (utilizing libraries such as Pandas, Numpy, Scipy, Sklearn, Statsmodels, Matplotlib, Seaborn).
  • Designing computationally intensive problems that cannot be solved manually within practical timeframes (days or weeks).
  • Creating complex problems necessitating sophisticated reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and extracting valuable insights.
  • Formulating deterministic problems with reproducible outcomes: avoiding stochastic elements or mandating fixed random seeds for precise reproducibility.
  • Grounding problems in genuine business challenges like customer analytics, risk assessment, fraud detection, forecasting, optimization, and enhancing operational efficiency.
  • Structuring end-to-end problems that encompass the entire data science pipeline (data ingestion → cleaning → exploratory data analysis → modeling → validation → deployment considerations).
  • Integrating scenarios that involve big data processing requiring scalable computational strategies.
  • Validating solutions with Python, employing standard data science libraries and statistical techniques.
  • Clearly documenting problem statements with realistic business contexts and providing verified correct answers.

What We Seek:
This opportunity is ideal for Data Science specialists with Python experience who are open to part-time, non-permanent projects. Candidates should ideally possess:

  • 5+ years of relevant data science experience demonstrating tangible business impact.
  • A portfolio of completed projects and publications showcasing applied problem-solving skills.
  • Expertise in Python programming for data science (Pandas, Numpy, Scipy, Sklearn, Statsmodels).
  • Advanced knowledge of statistical analysis and machine learning, including a deep understanding of algorithms, methods, and their practical applications.
  • Strong proficiency in SQL and database operations for effective data manipulation and analysis.
  • Familiarity with Generative AI technologies (e.g., LLMs, RAG, prompt engineering, vector databases).
  • Knowledge of MLOps practices and model deployment workflows.
  • Understanding of contemporary frameworks (e.g., TensorFlow, PyTorch, LangChain).
  • Exceptional written English skills (C1+).

Application Process:

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

About Mindrift

Mindrift specializes in connecting talented individuals with innovative AI projects for leading technology firms, emphasizing the testing, evaluation, and enhancement of AI systems.

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