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As a Staff Data Scientist, you will utilize your expertise in data mining, predictive modeling, machine learning, and NLP techniques to drive strategic decisions for WCS. You will be at the forefront of implementing models and strategies using A/B testing or Design of Experiments (DOE), tracking business performance, and providing insightful visualizations to support and continuously improve WCS business strategy.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Knowledge in data analysis algorithms (e.g. data mining, statistics, machine learning, natural language processing, text mining, visual analytics). Distill large datasets into effective visualizations for executive reporting through data-analytics/visualization applications and languages (Tableau, R, Python, SQL, etc.
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This role requires experience in Azure OpenAI, Large Language Models (LLMs), Python, and proficiency in developing applications using Streamlit, LangChain, Databricks, and Python frameworks such as Flask and FastAPI. The ideal candidate will be adept at building scalable machine learning models and deploying them to production environments and also being part of customer success teams.
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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.
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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. Strong programming skills in Python and Java; experience with Machine Learning libraries and frameworks.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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Engage in continuous learning to stay abreast of the latest developments in mobile health technology, data science, and machine learning. Develop on-device data visualization and machine learning models for personalized feedback and adaptive interventions.
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As a machine learning / signal processing engineer, you will apply your skills to a wide variety of problems and datasets, primarily focused on remote sensing (Electronic Support Measures {ESM}, acoustic, RF, EO/ IR, and lidar) applications.
$97,500 - $202,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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Experience with Spark jobs for data processing, analysis, and machine learning tasks using Databricks. Develop and optimize Spark jobs for data processing, analysis, and machine learning tasks.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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JOB SUMMARY FOR Data Modeler:This role involves applying quantitative and qualitative analysis to synthesize trends into actionable insights, delivering deep-dive analyses, and data mining using Alteryx.
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machine learning data mining processing python r jobs Company: Dell
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