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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Advanced degree (MS/MA or PhD) in a related field (e.g., Industrial-Organizational Psychology, People Analytics, Business Analytics, Statistics, Economics, Data Science, Applied Math, etc.
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Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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O9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in NA or EMEA. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs) -Respiratory (COPD/Asthma) across the aligned geography.
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Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and containerization technologies (e.g., Docker, Kubernetes), code management tools and frameworks (e.g., Ci/CD, Git) for understanding and managing big data solutions.
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To achieve its mission of improving people’s quality of life by acting responsibly towards society and the environment, the Group research, develops and markets innovative drugs in its three therapeutic areas: AIR (products and services that promote respiration, from new-born to adult populations), RARE (treatment for patients with rare and ultra-rare diseases) and CAR E (products and services that support special care and consumer-facing self-care.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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G-Research is seeking a DevOps focused Infrastructure Engineer, with deep experience in HDFS, YARN and the Hadoop ecosystem, to join its growing Big Data Platform Engineering team.
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Bachelor’s degree in computer science, data analytics, mathematics, statistics, data science, or related field with applicable data engineering & architecture work experience.
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Work closely with cross-functional teams including Data Science, Analytics, Product Development, and IT to ensure data engineering initiatives support broader business objectives.
$200,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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data science jobs Title: big engineer in Dallas, KS, Arizona
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