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Mindrift is currently seeking a Freelance Data Scientist with expertise in Python and SQL for their AI training projects. The role involves designing complex data science problems that contribute to the enhancement of Generative AI models, an exciting and impactful domain within the tech industry. This position is entirely remote, allowing professionals to work on their own schedule while contributing to high-level AI projects for major tech innovators.
The ideal candidate will take on various responsibilities, including:
Designing original computational data science problems to simulate analytical workflows across diverse industries such as telecom, finance, healthcare, and e-commerce.
Creating problems that require Python programming skills to analyze and process data effectively using libraries like pandas, numpy, scipy, and sklearn.
Ensuring that these problems are computationally intensive, presenting challenges that require innovative problem-solving and cannot be completed manually in a short timeframe.
Developing tasks that necessitate non-trivial reasoning chains, focusing on elements of data processing, statistical analysis, and predictive modeling.
Designing comprehensive end-to-end problems that span the entire data science pipeline, including data ingestion, cleaning, exploratory data analysis (EDA), modeling, and deployment considerations.
Confirming accuracy and reproducibility in problem statements, which must be based on realistic business contexts.
These responsibilities entail considerable creativity and technical expertise, as each project presents unique challenges that require specialized knowledge.
Candidates should possess the following qualifications and skills:
A Master’s or PhD in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
At least 5 years of hands-on experience in data science, demonstrating a track record of impactful business contributions.
A solid portfolio including completed projects and publications that showcase the ability to solve real-world problems.
Proficiency in Python for data science applications, accompanied by knowledge of essential libraries like pandas, numpy, and scikit-learn.
Extensive background in statistical analysis and machine learning, with a thorough understanding of algorithms and their practical applications.
Proficiency in SQL to facilitate data manipulation and analysis effectively.
Familiarity with Generative AI technologies, including LLMs, prompt engineering, and vector databases.
Knowledge of MLOps and model deployment workflows.
Experience with modern frameworks such as TensorFlow and PyTorch.
Advanced level of English (C1 proficiency) or above is essential for communication and documentation purposes.
The ability to learn new methodologies quickly, adapt to shifting tasks, and manage complex guidelines.
This role is categorically a freelance position with full remote capabilities. Candidates only require a laptop and internet connection to start working and should have the willingness to engage with challenging, innovative projects.
This freelance opportunity offers competitive hourly rates, potentially reaching $34/hour, depending on the candidate's skills, experience, and project requirements. The structure allows participants to engage in part-time projects that fit around their current professional or academic schedules.
Working with Mindrift not only provides a flexible work environment but also allows individuals to:
In summary, the Freelance Data Scientist position at Mindrift presents an exciting opportunity for professionals in the data science field. With the chance to work on advanced AI projects remotely and competitively compensated based on skill and experience, this role is well-suited for individuals looking to enhance their industry impact while engaging in meaningful work. Candidates with substantial data science backgrounds, particularly in Python and SQL, as well as a passion for AI development, will find this opportunity particularly valuable.
This job offer was originally published on jobicy.com
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