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PhD Preferred Requires an Active DoD SECRET Clearance Experience using FEA tools such as ABAQUS, NASTRAN, or SIERRSD Experience using Preprocessors such as HyperMesh, ABAQUS-CAE, CAPSTONE, or CUBIT Experience using Python, MATLAB or similar data processing and analysis tools Desired Experience: Structural acoustics is a plus Benefits : At Peraton, our benefits are designed to help keep you at your best, beyond the work you do with us daily.
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As a research scientist, you will bring statistical modeling and machine learning advancements to analyze data and develop customer-facing solutions in complex industrial settings. Amazons CBA team is looking for Research Scientists, who can work at the intersection of machine learning, statistics and economics; and leverage the power of big data to solve complex problems like long-term causal effect estimation.
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Utilization of MS Excel and Tableau to work thru large quantities of data. Understanding of routing, modeling, forecasting and quotas, escalations, and domain experience. Professional experience forecasting, budgeting, and staff modeling.
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Hands on proficiency using data science techniques including data cleaning, data fusion, statistical modeling, and data visualization. Apply a variety of analytical techniques to tackle Sponsor challenges to include data mining, statistical models, predictive analytics, optimization, risk analysis, and data visualization.
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Shows technical aptitude for understanding SQL,HTML, CSS, JSON, XML Structures, Data Modeling. Work closely with the internal tools development team on ensuring all internal foundational data processes and runbooks are fully and clearly documentedCommunication of progress or solutions back to the customers.
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Experience with data management processes and tools and applications, including process mapping and lineage toolsetsStrong knowledge of structured/unstructured databases, data modeling, data management, rapid / iterative development methodologies and data governance tools.
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Knowledge of flight and laboratory air vehicle/missile test conduct, coordination and supervision, data analysis/evaluation and applicable flight test truth sources, modeling and simulation systems and techniques, technical report preparation, and administrative aspects of flight test programs.
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The successful candidate must be self-motivated and well versed in Data Center projects touching on large building MEP systems design, commissioning, retro-commissioning, energy modeling/analysis and construction for complex buildings.
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Expertise with modeling frameworks (e.g. Tensorflow, PyTroch) and understanding of model architectures and mechanisms. In the Unity Ads Data Science team, we envision and build systems that help creators capture the value they build.
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Strong knowledge of business analysis methodologies, process modeling principles and methodologies and process improvement frameworks (e.g., Lean, Six Sigma)· Strong proficiency in process automation tools and technologies such as Robotic Process Automation (RPA) platforms, workflow management systems, or Business Process Management (BPM) tools· Proficiency in programming languages, scripting, or automation-specific languages (e.g., Python, PowerShell) is a plus.
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Headquartered in Chantilly, VA and with 16 offices around the world, Arcfield employs approximately 1,200 engineers, analysts, IT specialists, and other professionals who put our customers’ missions first, helping them solve their most complex challenges through innovations in modeling, simulation and analysis, digital transformation and C5ISR. Visit arcfield.com for more details.
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Experience with life sciences portfolio comprising instrument, software and consumablesExperience with financial modeling and data analysis skills. StartYourStory at Thermo Fisher Scientific, where diverse experiences, backgrounds and perspectives are valued.
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The team works with various data formats such as audio, video, and images, and packages this information to be used by internal stakeholders including data modeling and product teams.
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The position consists of performing algorithm testing, data generation, modeling and simulation, and analysis in support of Missile Defense Agency initiatives. Support includes evaluation of active/passive sensor performance, data fusion, multi-sensor tracking and target discrimination algorithms, system-level command and control algorithms, and missile defense battle management techniques.
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Team members work in a multitasking, fast-paced, dynamic, process improvement environment that comprises the principles of biometric technology, data modeling, data mapping, data testing, data quality, and documentation preparation.
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