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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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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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Bachelor’s degree in computer science, data analytics, mathematics, statistics, data science, or related field with applicable data engineering & architecture work experience.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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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.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Demonstrated Experience in Python programming and familiarity with core data science libraries. Data Engineer - Onsite at Dallas, TX. Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production.
Full-timeExpandApply NowActive JobUpdated 27 days ago - 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.
$70 - $80 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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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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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
data science jobs Title: big data engineer in Dallas, KS, Arizona
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