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Entry-level Data Scientist title plus flexible/hybrid work and recognizable employer increases applicant competition moderately.
Moderate—core ML and NLP skills transfer across industries, though health-science domain experience is beneficial.
Moderate: degree and ML/NLP fundamentals required but no strict years, certifications, or niche mandates.
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Contribute to the development, evaluation, and deployment of AI-driven solutions including Generative AI and NLP models under senior guidance.
Support data preparation, model development, testing, and maintenance of Python-based data science pipelines, including RAG pipelines.
Collaborate with cross-functional teams and SMEs to operationalize AI/ML models and ensure responsible AI practices.
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.
Basic understanding of machine learning, NLP, Generative AI, and familiarity with transformer and Retrieval Augmented Generation (RAG) concepts.
Proficiency with Python and standard data science libraries (NumPy, Pandas, Scikit-learn); exposure to cloud platforms (AWS, Azure) is a plus.
Work Experience Required: Entry-level role; prior professional experience not explicitly mentioned.
Foundational knowledge and interest in machine learning, NLP, Generative AI, and ethical AI practices in healthcare or related domains.
Comfortable working within guided, collaborative environments supporting complex AI projects and eager to learn under senior mentorship.
Familiar with Python programming and modern AI tools with willingness to engage in hands-on development and evaluation of AI/ML models.