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Freelance Data Science Engineer (Python & SQL) at Mindrift | Remote

MindriftRemote — Lisbon, Lisbon, PortugalNew
Remote Contract $34/hr - $34/hr

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Experience Level

Entry Level

Qualifications

QualificationsYou possess a Master’s or PhD degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.Proficiency in Python and SQL is essential.Experience in designing computational problems and conducting data analysis.Strong understanding of machine learning techniques and data processing methodologies.Excellent communication skills in English, both written and verbal.Ability to work independently and manage multiple projects simultaneously.

About the job

This opportunity is exclusively available for candidates currently residing in Portugal. Your location may influence eligibility and compensation rates. Please submit your resume in English and indicate your English proficiency level.

At Mindrift, we merge innovation with opportunity, leveraging the strength of collective intelligence to ethically shape the future of AI.

Our Mission

At Mindrift, we connect talented specialists with AI projects from leading technology innovators. Our goal is to unleash the potential of Generative AI by harnessing real-world expertise from diverse backgrounds.

About the Role

As a Data Science AI Trainer, you will have the chance to work on exciting projects aimed at enhancing GenAI models to tackle specialized inquiries and develop complex reasoning capabilities.

In this role, you will typically:

  • Design original computational data science problems that reflect real-world analytical workflows across various sectors such as telecom, finance, government, e-commerce, and healthcare.
  • Develop problems that necessitate Python programming to solve, utilizing libraries such as pandas, numpy, scipy, sklearn, statsmodels, matplotlib, and seaborn.
  • Create computationally intensive challenges that cannot be resolved manually within practical timeframes.
  • Focus on issues that require sophisticated reasoning in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.
  • Ensure the problems yield deterministic outcomes while avoiding stochastic components.
  • Base your challenges on genuine business scenarios, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.
  • Design comprehensive problems that encompass the full data science pipeline from data ingestion to deployment considerations.
  • Incorporate big data processing scenarios that require scalable computational techniques.
  • Utilize Python with standard data science libraries to verify solutions.
  • Clearly document problem statements, providing realistic business contexts and verified correct answers.

How to Get Started
To apply, simply submit your application, qualify, and embark on contributing to projects that align with your expertise, all on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring that technology serves the greater good.

About Mindrift

Mindrift is dedicated to connecting talented data science specialists with groundbreaking AI projects from top tech companies, striving to unleash the full potential of Generative AI through real-world expertise.