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Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. Conduct data analysis and model testing to identify areas for improvement and implement solutions to enhance translation accuracy and fluency.
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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Provide highly complex data mining, statistical analysis, trend analysis, and causal analysis. The primary tools used for research services include, but are not limited to, Logistics Management Program, Vantage, Virtual Contracting Enterprise, General Fund Enterprise Business System (GFEBS), SAP Business Objects/Web Intelligence Reports, Microsoft SharePoint, Army-specific contract writing systems (Procurement Desktop Defense (PD2) and Procurement Automated Data and Document System (PADDS , and various Government and Commercial business process automation systems.
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Experience with data trend analysis, vibration analysis, motor current analysis, oil analysis, lubrication and hydraulic testing, laser alignment, nondestructive testing, infrared thermography, ultrasound technology, acoustic reliability technology, Weibull analysis, and Six Sigma or Lean Manufacturing methodologies.
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The Mack Financial Planning & Analysis internship position will collaborate with internal stakeholders and partners on activities such as financial planning and analysis, monthly reporting, data analysis, data modeling, competitive benchmarking of existing practices, tools and methodologies, researching industry best practices, and benchmarking with competitors using various analytical tools.
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Data Science and Machine Learning Frameworks (PyTorch, TensorFlow, Scikit-learn etc.) The team is envisioned to have a mixed of intelligence technology, quantitative modeling, data science, financial engineering, and software engineering capabilities.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Masters/PhD equivalent degree in biomedical engineering, applied mathematics, physics, computer science, electrical engineering, numerical analysis, and/or related fields. We are looking for a Computational Biologist/Physicist with experience in scientific research, analysis and/or engineering.
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Minimum Requirements: Minimum of a University Degree with a PhD or MD equivalent in computer science, data science, biology, chemistry, or medicine. Leading, developing, and inspiring a global team of Oncology Data Science Experts.
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Experience in the use of industry standard loads and dynamics analysis software such as NASTRAN, PATRAN, FEMAP, ZONAIR, ZAERO. Depending on the specialization, the team member will be expected to perform a subset of the following analyses: flight loads, ground loads, gust response, flutter, aeroservoelastic responses, sonic fatigue analysis, and support equipment shock and vibration qualification.
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Summer 2025 Internship - Marketing Data Science (Modeling & Forecasting) Intern. As a Marketing Data Science Intern, you will collaborate with experienced data scientists and marketing professionals to support data-driven strategies for optimizing marketing effectiveness.
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Engage in the creation of experiments, prototyping, and architectural design, contributing to a diverse range of computer science domains such as machine learning, data mining, natural language processing, and performance analysis.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Do you have a passion for invention and self-challenge? Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. 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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Performs digital media analysis and malware reverse engineering on host, server, and network data as required to analyze and respond to an incident, to include but not limited to volatile and non-volatile memory and/or system artifact collection and analysis.
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