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Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy. Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science & machine learning team, and gain buy-in from executive leadership.
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Your expertise in data science, machine learning, and optimization, coupled with your strong technical communication skills, will be instrumental in guiding and mentoring team members.
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3) Experience and expertise in data science, image processing, and machine learning based approaches highly preferred. (3) Proactively provide PMs with information about what is happening across the scientific community by learning new science quickly and assessing the big picture across adjacent scientific disciplines.
$150,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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4+ years of experience working in data science, machine learning engineering, or data research, in a professional or academic environment. You’ll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions.
$96,600 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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These engagements will focus on Real Time and Batch-based Big Data processing, integration and governance, Business Intelligence, Visualizations, data science and Machine Learning.
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In this technical role focusing on Data Analytics and ML, you will architect enterprise-grade AWS solutions, own the technical relationships and deliverables for a GSI, develop and execute multi-day workshops, lead white boarding sessions, author white papers and blog posts, and respond to complex technical inquiries including RFPs. You will partner with Sales, Business Development and the Data & Analytics Service teams to enable partner’s Data & Analytics services adoption.
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Design Customer Solutions with GSIs to use AWS Data and ML services such as Redshift, Kinesis, Lambda, Elastic Map Reduce (EMR), Glue, SageMaker, S3, DynamoDB, and the Relational Database Service (RDS) aligned with AWS Well-Architected framework.
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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Research Project: The project will consist of using innovative data analytics (e.g., artificial intelligence and machine learning) to address clinical pharmacology and precision medicine issues, such as predicting an individual's treatment response based on their baseline characteristics and treatment.
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The ML/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.
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Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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At minimum, an Associate's degree in in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering.
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Are you a System Administrator who is interested in developing your skills and deepening your experience supporting the infrastructure, deployment, and maintenance of a machine translation triage application leveraging cutting-edge Artificial Intelligence (AI) / Machine Learning (ML), and Data Science (DS) capabilities.
$87,100 - $157,450 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
data science machine learning jobs in Rockville, MD
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