Position Overview: We are seeking an experienced Data Scientist with a strong background in healthcare and proficiency in Artificial Intelligence (AI) techniques for one of our clients. The ideal candidate will have a knack for analysis, math, and statistics, and possess a passion for machine learning, natural language processing, and research. This fully remote role requires significant experience in data science and AI-driven solutions, particularly within the healthcare sector. Responsibilities: • Identify valuable data sources and automate collection processes. • Undertake preprocessing of structured and unstructured data. • Analyze large amounts of information to discover trends and patterns. • Build predictive models and machine-learning algorithms. • Combine models through ensemble modeling. • Present information using data visualization techniques. • Propose AI-driven solutions and strategies to business challenges. • Collaborate with engineering and product development teams. • Lead the design and development of advanced AI models, including predictive models, natural language processing (NLP), and large language models (LLMs). • Conduct comprehensive data analysis and model validation to ensure accuracy and reliability. • Optimize models for performance, efficiency, and scalability. • Guide data collection processes, ensuring quality and relevance for model training. • Act as a mentor and technical leader within the team, sharing knowledge and expertise. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. • Minimum of 4 years of experience as a Data Scientist, preferably in the healthcare domain. • Proven experience in data mining and machine learning techniques, including deep learning, NLP, and large language models. • Strong programming skills in Python, R, or similar languages, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch). • Experience with data science libraries (e.g., Scikit-learn, Pandas, NumPy). • Exposure to AWS tools such as Lambda, SageMaker, and S3 is a plus. • Demonstrated ability to work with large datasets and complex data structures. • Familiarity with AI and machine learning ecosystems and model deployment techniques. Skills and Abilities: • Exceptional analytical and quantitative problem-solving skills. • Strong leadership and project management abilities, capable of leading projects from concept through implementation. • Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders. • A passion for continuous learning and staying up to date with the latest trends in AI and machine learning. • Strong math skills (e.g., statistics, algebra). • Excellent communication and presentation skills. Preferred Qualifications: • Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop). • Understanding of operations research principles.