Description:

Jobgether is seeking a Senior Data Scientist to work remotely from Brazil for one of their clients.
The role involves designing, developing, and deploying advanced AI solutions specifically for the healthcare sector.
Responsibilities include leveraging multimodal datasets to create innovative models and collaborating with cross-functional teams to drive impactful outcomes.
The position requires effective communication of complex findings to stakeholders.
The candidate will develop innovative AI solutions for healthcare applications and foundation models using state-of-the-art architectures and algorithms.
The role includes deriving performance metrics and generating evidence to highlight the clinical relevance and value of AI solutions.
The Senior Data Scientist will lead and manage independent projects, ensuring timely delivery and high-quality outcomes.
Efficient handling and processing of large, complex datasets is also a key responsibility.

Requirements:

The candidate must have a strong background in deep learning, machine learning, and natural language processing.
Hands-on experience coding in Python and proficiency in packages such as PyTorch, TensorFlow, LangChain, LlamaIndex, scikit-learn, NumPy, SciPy, pandas, and matplotlib is required.
Experience working with large datasets using SQL is necessary.
Familiarity with both open-source and proprietary generative AI models, including prompt engineering, fine-tuning, and retrieval-augmented generation, is essential.
A Master’s degree in a quantitative or analytical discipline (e.g., Computer Science, Data Science, Statistics, Mathematics) with at least 5 years of relevant experience is required; alternatively, a Ph.D. in a related discipline with at least 3 years of relevant experience is acceptable.

The position offers a competitive salary.
Comprehensive health benefits are provided, including medical, dental, and vision coverage.
Flexible paid time off is available to support work-life balance.
There are opportunities for professional development and career advancement.
The work environment is supportive and collaborative.