Develop and deliver the most appropriate analytics techniques to address clinical questions and problems (text mininganalysis, data visualization, data mining, statistical modeling, machine learning) in response to NNI stakeholder requeststhat are funneled through RWE Leads.Keeps updated with newer analytic techniques and platforms, and their adaption into the real world setting; implementthese techniques / platforms and describe the rationale for their im
Develop and deliver the most appropriate analytics techniques to address clinical questions and problems (text mininganalysis, data visualization, data mining, statistical modeling, machine learning) in response to NNI stakeholder requeststhat are funneled through RWE Leads.Keeps updated with newer analytic techniques and platforms, and their adaption into the real world setting; implementthese techniques / platforms and describe the rationale for their im
Skill, Bachelor’s or Master’s (preferred) degree in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc.2-4 years code development/research experience in a business settingStrong proficiency with Python, Spark, SQL, Unix, git, and AWS (S3 and EC2)Excellent verbal and written communication skillsExcellent software engineering fundamentalsExcellent debugging skillsExcellent machine
Skill, Bachelor’s or Master’s (preferred) degree in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc.2-4 years code development/research experience in a business settingStrong proficiency with Python, Spark, SQL, Unix, git, and AWS (S3 and EC2)Excellent verbal and written communication skillsExcellent software engineering fundamentalsExcellent debugging skillsExcellent machine
7+ years of advanced hands-on data science & analytics experience using Python and R; good exposure to SQL (joints, sort procedures’) - Knowledge and experience applying common data science methods, including linear models, tree-based models, SVMs, ensemble methods (e.g., random forest), and unsupervised/clustering methods - Experience working with tools like Spark and Data bricks - Experience in Data analysis using Machine Learning techn
7+ years of advanced hands-on data science & analytics experience using Python and R; good exposure to SQL (joints, sort procedures’) - Knowledge and experience applying common data science methods, including linear models, tree-based models, SVMs, ensemble methods (e.g., random forest), and unsupervised/clustering methods - Experience working with tools like Spark and Data bricks - Experience in Data analysis using Machine Learning techn