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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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O Proficiency in programming languages such as JavaScript, SQL, and Python. o Education: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. As finance cycles converge, we advise, implement, and operate best-in-class solutions across actuals and forecast to accelerate insights including finance and analytics, planning, FP&A as-a-service, finance technology strategy, and ERP-enabled finance transformation.
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Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners and OrthoCAD digital services.
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R&DE comprises 1,300 FTE and part-time staff in the following divisions: the Office of the Senior Associate Vice Provost (SAVP), Student Housing Operations, Stanford Dining, Stanford Hospitality & Auxiliaries, Stanford Conferences, and a team of R&DE strategic business partners: Finance & Administration, Human Resources, Information Technology, Maintenance Operations and Capital Projects, and Strategic Communications.
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Vice President, Information Technology. Establish a data and technology operating model that fosters a business-oriented approach and promotes a culture of data and digital innovation.
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Working knowledge of Unix shell scripting, Python, Automation tools such as Ansible AWX/Tower, Terraform, DevOps tools such as Nexus, Bitbucket, GitHub, Jira, Jenkins. Strong Infrastructure Knowledge for Compute, Network, Storage, Security, HA/DR. Deep knowledge of one or more Databases such as Oracle, HANA, MSSQL, Azure SQL, Postgres, CosmosDB, Aerospike Knowledge of various Compute platforms such as VMWare, Kubernetes (AKS, OCP, Tanzu.
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Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C. We are looking for a Quantitative User Experience Researcher to help us understand the key needs of the design language using a combination of foundational and tactical quantitative research.
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The Technology Program's state-of-the art laboratories include Cisco Systems Internet of Things (IoT) Lab (30 stations), the Virtual and Simulation Network Lab (40 stations), the Advanced Manufacturing Lab equipped with several Haas CNC machines (3 stations), and 3D Printers (12 stations.
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2+ years of coding experience in SQL, Python, R. Being strongly skilled at manipulating and integrating data from a variety of sources. Specific responsibilities include: - Champion security: Follow best practices to meet the high standard of regulatory data security requirements.
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Experience in programming languages used for data manipulation and computational statistics (Python, R, MATLAB, C. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably.
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Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL. · Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
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We are seeking a highly motivated Research & Development (R&D) Medical Physicist to join our dynamic team. Employ data, signal, and image processing to evaluate identifiable factors and make independent, informed judgments in solving intricate technical and business challenges.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Hands-on prototyping and programming knowledge (e.g. Python, SQL/NoSQL, Kafka, Spark, etc). PhD in Engineering (e.g. Computer Science, Data Science, Information/Data Management, Math, Statistics, Information Theory, etc) or related field.
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information technology python sql r jobs Title: data in Sunnyvale, CA
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