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Experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. as well as statistical and machine learning libraries such as scikit-learn, MLlib and Tensorflow is preferred.
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Experience with projects using Machine Learning, statistical methods, and natural language processing. Knowledge of and skill in the use of Structured Query Language (SQL), Python data science and visualization packages (PyMC3, matplotlib, Bokeh, Sci-Kit, TensorFlow), MatLAB, PHP, Tableau, and similar data integration services and data visualization tools.
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Quality Assurance (QA), Test and Evaluation (T&E), privacy requirements, cybersecurity, assessment of opportunities to incorporate Artificial Intelligence ("AI") and/or Machine Learning ("ML") into ODRR Test and Evaluation which may include, Predictive Analytics, Natural Language Processing (NLP) and Large Language Models (LLM), Generative AI, Training models, navigating access, compliance, privacy, and security concerns across all applicable platforms, data types, and use cases.
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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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Booz Allen's Digital Battlespace Team is seeking an experienced full-stack machine learning engineer to build innovative new applications and products in the defense market. 5+ years of experience in software development and machine learning delivering high quality, scalable, and maintainable solutions.
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Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning) The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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Knowledge of legal technology such as document assembly, robotic process automation, AI, machine learning, and predictive coding. Expertise in relational database management (e.g., SQL server, Azure Synapse/Fabric) and user experience design, including data visualization (e.g., Power BI, Tableau.
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Understand and apply concepts associated with data modeling, machine learning, and artificial intelligence (AI) and their application in client workflows. Become familiar with common data collection, cleaning, analysis, and visualization technologies including, but not limited to, Python, R, SQL, Cypher, Power BI, Tableau, etc.
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Solutions Architecture certification, such as AWS CSA or Azure Solutions Architect), Cloud Machine Learning certification, such as AWS Machine Learning, Azure Data Scientist Associate, or Databricks Certified Machine Learning Professional.
$285,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical Awareness of multiple data-related domains, including data management and analysis (Familiarity with database management systems, e.g., SQL, NoSQL, and data analysis tools, e.g., Python, R), Data Integration, Statistical Analysis, Machine Learning, Data Visualization, and their associated tool (GitHub &c.
$80,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data mining and statistical modeling (e.g., regression modeling, clustering techniques, XGBoost, machine learning, decision trees, etc.) Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS; and.
$208,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience developing in languages commonly used for data analysis such as Python, R, Julia, SQL, or SAS. Experience in theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization.
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Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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The application will also provide capabilities for global collaboration and use artificial intelligence/machine learning to generate intelligence recommendations. Use back-end technologies such as SQL-lite Database, ElasticSearch, Solr, Structured Query Language (SQL), and Server-Side Languages (Java, etc.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated Today
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