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Knowledge of data mining, machine learning, data visualization and statistical modeling. The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Statistical and machine learning techniques for analyzing financial data, including survival analysis, time series analysis, GLM, logistic regression, XGboost, LightGBM, Random Forest, Neural Networks, decision tree analysis, and cluster analyses.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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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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Demonstrated professional experience in advanced Data Science domains such as predictive modeling, Large Language Models, machine learning, text mining, and/or data engineering.
$147,200 - $229,925 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Candidate will be responsible for delivering the vision and strategy for modern data, analytics, and artificial intelligence/machine learning (AI/ML) to provide an end-to-end ecosystem for data storage, ingestion, transformation, analytics, and AI/ML. We are an agile team that builds complex solutions, and you will be working on next generation of platform.
$76,000 - $236,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We integrate off the shelf and new development efforts to sustain and enhance the NMEC architecture and 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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This individual The OSP Engineer performs detailed outside plant facility engineering tasks that includes estimating, analyzing, designing, planning, budget tracking estimates against actual costs for copper and fiber cables, poles, direct buried and conduit systems.
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Solid software engineering and / or data engineering skills for prototyping. Do you have the skills necessary to manage, understand, and analyze inhouse and customer data including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities.
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Experience with Digital Engineering, Machine Learning and Artificial Intelligence, Software Development, Solid-state Electrical Circuit Design, Unmanned Systems Design, Human Factors Engineering, or Fault Tree Analysis.
$60,400 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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The Leidos has an exciting opening for you, as a Cloud Engineer, to play a critical role with design, engineering, development, deployment, and use of software for the DOMEX Technology Platform (DTP) where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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Skills: Experience in cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, and sonar systems. If youre a whiz with cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, or sonar systems, youre exactly who we need.
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You will be working closely with our Cloud Architect, Solution Architects, Systems Engineers, Software Engineers, and Operations Engineering/Manager as well as Government counterparts to perform and manage our cloud solution, cloud computing strategy and all associated documentation.
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machine learning data mining software engineering visualization jobs Company: Sheetz in Arlington, VA
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