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Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
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A Masters’ degree in computer science, AI/ML, data science, mathematics, statistics, applied linguistics/psychology/neuroscience and related fields, or 2+ years of equivalent experience.
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Experience in core data science and predictive analytics methods: Statistics (t-tests, Poisson process), Segmentation and clustering techniques, predictive modeling: e.g., regression, classification, Time Series analysis: e.g., ARIMA, Traditional machine learning methods: e.g., Random Forest, ensemble model techniques, Optimization: e.g. linear programming.
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Develop and maintain computational methods using deep learning for pathological image processing. Automated, unbiased sample selection and scalable study design will immediately facilitate deep spatial investigations in landmark MD Anderson programs, including APOLLO and Patient MOSAIC, to direct novel data analysis, enable translational studies, and generate clinical impact.
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A degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field (Masters or PhD preferred for Senior Manager direct hires.
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Data science, machine learning, optimization models, PhD 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) Primary Location.
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Data Science tools like Knime, Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS, data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik, data manipulation tools such as SQL, Spark, PySpark and Hive, cloud environments like Azure and AWS, deep learning tools such as Tensorflow, Keras and PyTorch.
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Data science, machine learning, optimization models, PhD 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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Design, implement, deploy, and maintain deep learning and Client models using cloud technologies (e.g., Azure Databricks, MLFlows and Azure Client) BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields.
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Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, including Data Science and Machine Learning. where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Areas of work include Artificial Intelligence, Computer Vision, Data Science, and Deep Learning. Areas of work include Sensing Hardware Engineering, Sensing ASIC Architecture, Algorithm Engineering, Machine Learning Engineering, Deep Learning, Firmware Engineering, Software Engineering, Quality Assurance Engineering, and User Studies and Human Factors Engineering.
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Field experience in data science and building and evaluating large scale machine learning & deep learning models. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
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Walmart Connect is seeking an experienced data science leader to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, optimization, segmentation.
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Data Science Model development using machine learning, deep learning also involving machine and sensor data processing. Innovating and creating intellectual property in the space of AI and data science solutions applied to predictive and preventive maintenance of critical equipment.
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In depth understanding of Machine Learning / Deep Learning / NLP concepts. Similar Jobs (5) Senior Software Engineer, AI Developer Tools - Cloud Software locations 2 Locations time type Full time posted on Posted 30+ Days Ago Developer Technology Engineer, Quantum Computing locations 6 Locations time type Full time posted on Posted 30+ Days Ago System Software Engineer, Data Center Networking - Cloud Services AI locations US, CA, Santa Clara time type Full time posted on Posted 29 Days Ago.
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