Senior Data Scientist designing and leading projects to enhance machine learning classifiers for cancer detection. Collaborating with cross-functional teams in a healthcare company focused on early cancer detection.
Responsibilities
Envision, design, and lead projects to evaluate and improve machine learning classifier performance for cancer detection
Collaborate cross-functionally with scientists, engineers, and clinicians to plan, execute, and interpret experiments
Develop high-quality, reproducible, and scalable software aligned with sound engineering principles
Apply best practices in machine learning and statistics to generate robust, interpretable, and reliable results
Analyze large-scale sequencing and genomics datasets to extract meaningful biological insights
Contribute to the development and evaluation of novel machine learning methods, including deep learning approaches
Communicate findings and present updates regularly in technical and cross-functional forums
Contribute to scientific publications, internal tools, and production systems
Requirements
Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Machine Learning, or a related field with 2+ years of relevant experience, OR M.S. with 4+ years of relevant experience, OR B.S. with 6+ years of relevant experience, or equivalent practical experience
2+ years of experience applying machine learning or statistical modeling in a research or production environment
Strong expertise in data analysis using Python or R
Deep understanding of modern machine learning and statistical methods
Experience developing reproducible, well-structured code in a collaborative environment
Software Development role at GDIT requiring a TS/SCI clearance with Polygraph. Engaging in government projects for software innovation and development in Virginia.
Coordenador de Ciência de Dados leading the data team in developing analytical solutions for Caixa Vida e Previdência. Focused on data science and project coordination in a collaborative environment.
Lead and deliver AI initiatives focusing on traditional machine learning and generative AI for Mashreq Bank. Build, scale, and productionize models for business transformation and operational efficiency.
Data Scientist designing and implementing analytical solutions using Python and AI technologies. Collaborating cross - functionally to deliver Generative AI solutions for business needs in a hybrid setup.
Data Scientist developing predictive models and automation workflows for the mortgage lifecycle. Collaborating with cross - functional teams to enhance operational efficiency and customer outcomes.
Data Scientist developing machine learning models and analytics solutions to improve decisions in the mortgage lifecycle from acquisition to servicing. Collaborating with teams on predictive modeling and automation workflows.
Senior Manager in Data Science and Analytics leading statistical modeling for mortgage and consumer lending. Collaborating with teams to deliver data - driven insights and improve operational efficiency.
Internship for AI in document processing at ArianeGroup, focusing on natural language processing and data analysis tasks in a collaborative environment.
Senior Data Scientist focused on Generative AI and LLM at Manulife. Develop and implement machine learning models to solve business problems and mentor peers.