The position of Data Scientist at Mindrift offers a freelance opportunity for individuals skilled in Python and SQL. This role is designed for professionals who are interested in engaging with project-based AI opportunities within leading technology companies. Candidates are expected to collaborate on diverse tasks focused on testing, evaluating, and enhancing AI systems. Importantly, this is not a permanent role but rather a freelance arrangement where work is assigned based on specific projects and their requirements.
Key Responsibilities
The responsibilities for this freelance position include, but are not limited to:
Designing original computational data science problems that reflect real-world analytical workflows across various industries, including telecommunications, finance, healthcare, and e-commerce.
Creating challenges that necessitate the use of Python programming solutions, specifically with libraries such as Pandas, Numpy, Scipy, and Sklearn.
Ensuring that the problems set are computationally intensive, which cannot be solved manually within reasonable timeframes, thereby necessitating advanced analytical methodologies.
Developing problems requiring complex reasoning for tasks such as data processing, statistical analysis, predictive modeling, and extracting insights from datasets.
Crafting deterministic problems that yield reproducible results, avoiding stochastic elements where necessary.
Aligning challenges with real business scenarios, such as customer analytics and risk assessment.
Designing comprehensive problems that encompass the entire data science pipeline, from data ingestion all the way to deployment considerations.
Working with scenarios involving big data processing that necessitate scalable computational strategies.
Validating solutions crafted using Python and common data science libraries, along with appropriate statistical methods.
Clearly documenting problem statements within realistic business contexts and ensuring that verified correct answers are provided.
Required Skills and Qualifications
This position seeks candidates who meet several essential qualifications:
A minimum of 5 years of hands-on experience in the field of data science, showcasing demonstrated business impact through previous projects.
A strong portfolio indicating completed projects showcasing efficacious problem-solving techniques in data science.
Expertise in Python programming specifically aimed at data science tasks, including performance with libraries such as pandas, numpy, and others relevant to data analysis.
Deep understanding of statistical analysis and machine learning, complete with practical applications of various algorithms and methods.
Proficiency in SQL and experience with database operations to facilitate data manipulation and analysis.
Familiarity with GenAI technologies, including language models and prompt engineering.
An understanding of MLOps practices, alongside workflows pertinent to model deployment.
Knowledge of contemporary frameworks, such as TensorFlow and PyTorch.
Proficient written English communication skills, ideally at a C1 level or higher.
Compensation
Compensation for this freelance role is competitive, with contributors earning up to $58 per hour. This rate is contingent upon the individual's experience and contribution pace. However, it is important to note that pay rates may vary across different projects based on their specific requirements, scope, and complexity.
Project Engagement
Candidates should be aware that the engagement for this role will fluctuate, with tasks requiring an estimated 10-20 hours per week during active phases. These estimates are not guaranteed workloads but serve as a guideline based on project demands.
Application Process
The application sequence consists of several key steps:
Submit an application along with a CV in English, clearly indicating your level of English proficiency.
Pass through necessary qualifications as observed by the hiring team.
Upon qualification, candidate will join a project where they will complete outlined tasks relevant to the role.
Successfully complete assigned tasks and process payments accordingly.
In summary, this role is an attractive opportunity for data science specialists seeking freelance work in the realm of AI. It requires a strong skill set and offers flexibility along with competitive compensation, making it ideal for those wanting to leverage their expertise in a diverse and challenging environment.
This job offer was originally published on jobicy.com
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