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We are committed to being at the forefront of transforming the way medicine is made and delivered by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote scientific discovery, faster decision making, and enhanced patient care.
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Recruit, develop and retain a high-performing AI/ML and data science team. Develop the data analytics and AI/ML skills, capabilities, processes, and tools for Teva to apply advanced techniques to achieve its growth agenda, such as machine learning/artificial intelligence, generative AI, natural language processing, natural language generation, modeling and simulation, predictive analytics, etc.
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PhD in Chemical Engineering, Physical Chemistry, Materials Science, or a related field. Expertise in regression analysis, data interpretation, and model parameterization. We’re looking for someone who is not only well-versed in the science but also excited to drive innovative strategy and contribute to our project portfolio.
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Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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Collaborate with IT and data science teams to leverage big data and artificial intelligence in pharmacovigilance. Oversee the collection, evaluation, and reporting of adverse event data from clinical trials and post-marketing sources.
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Proven skills in Data Engineering, Data Science & Machine Learning, Generative AI , Cloud ( AWS or Azure), SQL, Python , Viz Tool (Power BI or Tableau) Bachelor’s degree in computer science, data science, statistics, math, or a similar degree field.
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As a Senior Data Scientist, you will lead data-driven projects, innovation on Data science and Machine learning capability build and collaborate with cross- functional teams to enhance our data capabilities.
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Walmart Connect is seeking an experienced data science leader to enable our powerful portfolio of advanced analytics and machine learning techniques (e.g. marketing mix/predictive modeling, optimization, segmentation) to deliver actionable insight for our largest GPG brand advertiser clients.
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Experience in a statistical programming language (for example, R or Python) and related data science / machine learning packages (for example, Pandas, Scikit-learn, Pytorch, Transformers.
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Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. Master's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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The Senior Director Consumer Science Innovation is a highly strategic role and will manage the Global Consumer Science Innovation team with the primary function of driving consumer centric innovation consumer research programmes in Mondelez international.
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The Epidemiology and Drug Safety practice at IQVIA is a fast-growing component of the Regulatory Science and Study Innovation (RSSI) division. We offer a flexible, diverse, and dynamic work environment with a multidisciplinary team of researchers with backgrounds in epidemiology, regulatory science, pharmacovigilance, and health services research.
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Education: Advance degree in Medicine, pharmacy, Life science disciplines and/or postgraduate qualification e.g., PhD (min master's degree) in Epidemiology, biostatistics, micro-econometrics, bioinformatics, data science, health economics or other related disciplines.
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Master's Degree in Geology, Biology, Ecology, Environmental Science, Archeology, Anthropology or related field and 3 years of relevant experience. Bachelor's degree in Geology, Biology, Ecology, Environmental Science, Archeology, Anthropology or related field and 4 years relevant experience, or.
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data science jobs Company: Apple in East Hanover, NJ
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