Senior Data Scientist

11 hours ago


Toronto, Canada Johnson & Johnson Full time

Senior Data Scientist Johnson & Johnson – Toronto, Ontario, Canada About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients. We develop medicines and treatment solutions that move from lab to life, always championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine. Purpose The Commercial Data Science team within J&J Innovative Medicine Technology seeks a Senior Data Scientist who crafts, develops, and fields data‑science solutions that drive impact for patients and J&J. This role powers business value by enabling multiple units to make data‑driven decisions. Responsibilities Stay at the cutting edge of machine learning, AI, and data science; conduct research and develop algorithms that influence organizational decision‑making. Lead complex projects from conception to delivery, ensuring quality and alignment with business objectives. Mentor and guide junior data scientists, fostering growth within a dynamic, multi‑therapeutic environment. Qualifications / Requirements PhD or Master’s with 2+ years of industry experience in Data Science, Computer Science, Statistics, Machine Learning, or related discipline. Strong knowledge of machine‑learning platforms and techniques (regression, decision trees, clustering, neural networks, Bayesian models, etc.). Proficiency in Python, R, or SQL. Experience delivering data‑science projects using predictive, mining, or text‑mining technologies. Excellent communication skills and ability to convey complex methods/results to diverse audiences. Preferred Qualifications Experience with commercially available healthcare data sets. Hands‑on AI implementation experience on commercial platforms. Other Position location: Toronto, ON, Canada. Required Skills Decision trees, machine‑learning algorithms, advanced analytics. Preferred Skills Advanced analytics, business intelligence, coaching, collaboration, critical thinking, data analysis, database management, data privacy standards, data reporting, data visualization, econometric models, process improvements, technical credibility, workflow analysis. #J-18808-Ljbffr


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