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Technical Expertise : Extensive experience in the complete ML development lifecycle with machine learning frameworks (e.g., TensorFlow, PyTorch and Lightning), statistical modeling, data science, and computational biology tools.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop insights, methods or tools using various analytic methods such as causal-model approaches, predictive modeling, regressions, machine learning, time series analysis, etc. Strong proficiency in Advanced Statistical methods and concepts, predictive modeling, time series forecasting, text mining.
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VP, Data Science RWE | Top 5 Pharma. Extensive experience with exploratory data analysis, modeling and simulation with programming languages such as Python and R is required.
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Candidates should have strong experience in a relevant scientific area, such as drug discovery, therapeutic development, computational chemistry, computer vision, statistics, artificial intelligence, modeling, simulations computational genomics or biology, statistical genetics, data science, chemistry, or biology.
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Subject Matter Depth and Breadth with at least four of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep Learning Concepts; Bayesian Estimators.
$286,130 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in data modeling, predictive and prescriptive analytics techniques, machine learning, and SQL query optimization; strong understanding of data governance, data quality, and data security principles.
$304,590 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will work closely with the senior leaders in R&D (Discovery through to Pre-clinical and Clinical Development) on integrating QSP modeling into all facets of R&D. You will be counted on to develop strategies and processes for a role that will have great strategic impact on the company, which is undergoing an exciting metamorphosis by becoming a more digital, data-driven R&D enterprise.
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Experience in statistical detection of potential healthcare fraud and abuse, using tools, such as predictive modeling, development of mathematical models, neural networks, healthcare data analytics, and data mining.
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Hadoop)Creative problem solver who thrives when presented with a challengeExcellent pattern recognition and predictive modeling skillsExperience with programming languages such as Python, R.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in data science tools and platforms (Databricks, TensorFlow, DataRobot, Palantir, Apache Spark, C3. Extensive experience in data analysis, statistical modelling, ML, and LLM, with a solid understanding of various data science methodologies, their best-practices, and their practical applications.
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Between animal health, disease, production and the environment, and delivery of sustainable food animal products using data science and/or predictive tools). This is a 9-month, tenure-track position in which the successful candidate will develop an independent, integrated research program with an approach focused in animal disease (with an emphasis on understanding the linkages between animal health, disease, production and the environment, and delivery of sustainable food animal products using data science and/or predictive tools.
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Collaborate with process engineers and modeling engineers to model improved materials and provide data for model validation. Experience with polymer, metal, or ceramic matrix composites modeling experience.
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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 SageMaker, Databricks, and Dataiku.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago
data science predictive modeling jobs Company: Adobe in WY, France
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