Data Scientist - Machine Learning

August 24

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Description

• Utilize Dataiku to automate data preparation, pipeline development, statistical analysis, and model creation. • Work with longitudinal/transactional patient-level data (APLD) to derive actionable insights within the pharmaceutical domain. • Develop predictive models, perform statistical analysis, and create machine learning algorithms to solve business problems. • Work closely with business analysts, data engineers, and other stakeholders to understand requirements and deliver data-driven solutions. • Present findings and insights to stakeholders using data visualization tools and platforms. Create comprehensive reports that effectively communicate analysis results.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. • 4-5 years of experience in Data Science, with a strong focus on machine learning, statistical analysis, and data engineering. • Proficiency in Dataiku, including hands-on experience in building data pipelines, automating workflows, and developing machine learning models. • Strong understanding of longitudinal/transactional patient-level data (APLD) within the pharmaceutical industry. • Experience with programming languages such as Python, R, or SQL. • Familiarity with data visualization tools (e.g., Tableau, Power BI) and big data technologies. • Prior experience in life sciences services companies (e.g., GE Healthcare, IQVIA, WNS, Accenture, Indegene, etc.) with exposure to patient-level data. • Strong analytical, problem-solving, and communication skills. • Ability to work independently and as part of a team in a hybrid work environment.