Data Scientist, Mendel.ai

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree is preferred
• 6+ years of professional experience in data science and working with large data sets
• Expertise using ML Flow and Kubeflow
• Strong proficiency in SQL and Python, with experience in Java desired
• Skills in applied statistics, such as hypothesis testing, anomaly detection, clustering, and regression analysis
• Machine learning algorithms, processes, tools, and platforms, including but not limited to Python, TensorFlow, PyTorch, etc
• Experience with cloud services (GCP, AWS, Azure)
• Excellent problem-solving skills and ability to work in a team environment
• Experience with data visualization tools (e.g., Tableau, Qlik Sense, Looker)
• Proven ability to manage and deliver on multiple projects with attention to detail
• Proficiency in creating and testing ETL pipelines and expertise in cleansing and integrating data from disparate sources
• Big Data experience is a significant plus
• Strong analytical skills to analyze complex business and AI data

Desirable

• We are seeking a Data Scientist for the ML/AI Services team at Mendel.ai
• This team harnesses human input from a global team of clinical experts to improve the accuracy and relevancy of our clinical AI & LLM models
• This role will be primarily responsible for driving continuous improvements in our LLM based models for extracting knowledge from structured and unstructured healthcare data to drive healthcare innovation
• Gain a thorough understanding of the various LLM models employed in the process of extracting knowledge from unstructured healthcare data
• Assess current performance and areas of improvements against various customer and third party datasets
• Drive efforts for identifying and selecting appropriate data for training each model from available datasets
• Work closely with the clinical data operations team in Egypt for human annotation and preparation of data for training the models
• Generate detailed analytics to evaluate model performance improvements and/or regression
• Review results with the broader AI team and plan subsequent iterations
• Work closely with Engineering teams to drive improvements in our Data Platform and ML Platform processes, tooling and capabilities to accelerate ongoing continuous improvement cycles