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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Experience in a data analytics, open-source tools, cloud computing, machine learning and data visualization. Skilled with models for DoD problems and is familiar with natural language processing, machine learning, predictive modeling, statistical analysis, and hypothesis testing.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics.
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As a Leidos Information Advantage Practice Vice President, you’ll be responsible for shaping our internal and external information advantage strategy for Artificial Intelligence (AI), Machine Learning (ML), Automation, and Analytics ensuring seamless execution of efforts supporting current and new clients.
$306,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with deep learning, data science, and NVIDIA GPUs. Expertise in two or more data estate workloads like Microsoft's Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.
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Basic understanding of analytics software (e.g.: SQL, Power BI, MS Access, Tableau, Alteryx) or a demonstrated interest in learning analytics software. Basic understanding of statistics and data analytics.
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Develop machine learning models for tasks such as natural language processing (NLP), computer vision, statistical learning, and predictive analytics. Experience with machine learning fields such as natural language processing (NLP), computer vision, statistical learning, and predictive modeling.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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The Data Scientist will join a team responsible for developing advanced analytics products; applying Machine Learning, Artificial Intelligence and statistical programming tools to enterprise data to advance and enable key mission outcomes.
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Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more.
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Data Engineering & Cloud Services: Utilize a comprehensive tech stack, including Python, Java, SQL Databases, Databricks, Docker, Azure, and AWS, to develop scalable data engineering solutions and manage cloud data analytics tools.
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SAIC’s National Intelligence Community (NIC) Business Unit, USG Mission, and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
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Hands-on experience with Databricks and Snowflake for data engineering and analytics. Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with machine learning concepts and frameworks is a plus.
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Strong programming skills and knowledge in big data analytics such as Apache Spark and AWS cloud computing. Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets.
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4+ years of hands-on experience in AI/ML model development, including supervised and unsupervised learning, with a strong focus on Natural Language Processing (NLP) for unstructured data. with specialized expertise in Artificial Intelligence (AI) and Machine Learning (ML) to support the analysis and interpretation of large-scale datasets.
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learning analytics jobs in Mclean, VA
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