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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. C#, SQL, Tableau, Alteryx, and Excel Macros / VBA /JS; Applying techniques across one or more machine learning models including: multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge; Utilizing intelligent robotic process automation tools (Automation Anywhere, Pega, UiPath, etc.
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Experience with data science, machine learning, and/or artificial intelligence. Experience with cybersecurity data from SIEM, Endpoint, Network, Threat Intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission to defend against evolving threats around the world.
$118,300 - $213,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in advanced Python data science packages (pandas, networkx, scikit-learn, pyTorch or TensorFlow/Keras, matplotlib or plotly, etc.) Experience with machine learning, algorithm analysis, and data clustering.
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As a data scientist, you re excited at the prospect of unlocking the secrets held by a data set, and you re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As a Senior Associate in our Risk Analytics and Modeling team, you'll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Desired skills include proficiency in big data analysis techniques such as: educational data mining, random forest analyses, machine learning, predictive analysis and/or research design techniques such as: propensity score analysis, regression discontinuity, or causal analysis.
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1+ years of experience leveraging analytics to measure marketing effectiveness with a focus on measurement and attribution · Experience working with and measuring TV, digital media, and CRM data · Deep knowledge of statistics/data science, including regression, hierarchical or mixed regression, and machine learning techniques (Naïve Bayes, Markov Chain, Random Forest etc.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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5+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization.
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Utilizes an in-depth knowledge of data science techniques and methodologies such as machine. Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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Experienced researcher and team member who is excited to work with mission partners to leverage cutting-edge data science and machine learning research for immediate impact. While this position is ideally suited for a senior data scientist or machine learning researcher, individuals who feel they meet most of the requirements are encouraged to apply to work with our team leaders and have meaningful impact on our nation’s safety and security.
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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Bachelor's degree in Operations Research, Applied Mathematics, or Data Science. On our team, you'll use your analytical skills and data science knowledge to create real-world impact.
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Enlighten, honored as a Top Workplace from the Baltimore Sun, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Undergraduate degree in Computer Science, Data Science, Information Sciences, Econometrics, required. The Manager, Valuation & Capital Market Analysis – Complex Financial Instruments – MLOps will be a member of the Data Science/MLOps team that builds Model and related infrastructure to speed up the development and deployment of ML and Statistical models at scale and bring game-changing impact to our client’s decisioning.
$120,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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