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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. Experience working with database management systems SQL or NoSQL, including database design, optimization, and querying using databases, such as MySQL, PostgreSQL or MongoDB.
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Experience must include 6 months in each of the following: Tableau; Python (Jupyter Notebooks, Spyder); Python libraries: Pandas, Matplotlib, GeoPands, Shapely; EXCEL VBA; QGIS (Geographic Information System); Power BI; machine learning techniques (including exploration data analysis, sampling, decision trees, clustering, random forest, logistic regression; and SAS language (Base/Macro.
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Programming with SQL, Python and R. Knowledge, Skills and Abilities Develop (from scratch) machine learning and/or deep learning approaches and algorithms to solve clinical and business (including operations, supply chain, human resources, finance) problems.
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Familiar with common DL packages such as Pytorch, Keras, Tensorflow Strong software development skills in languages such as Python, SQL, R, Scala, Java. Time series forecasting, anomaly detection, LLM tuning, using sound statistical and deep learning methods.
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Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy. 2+ years of experience in 3D deep learning; Mesh, Volumetric, and/or Point Clouds.
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Keywords:Boston MA Jobs, Software Manager, UI, User Interface, JavaScript, React, Redux, HTML, CSS, Bootstrap, Java, PHP, Python, AWS, PaaS, SaaS, IaaS, AppSync, Lambda, Cognito, BeanStalk, CloudWatch, CloudMonitor, EC2, S3, VPC, SQL, MySQL, AWS-RDS, DynamoDB, AWS-Elastic Cache, ETL, Data Lakes, AI, Artificial Intelligence, ML, Machine Learning, Data Science, Agile, Waterfall, Work From Home, Remote, Massachusetts Recruiters, Information Technology Jobs, IT Jobs, Massachusetts Recruiting.
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5+ years of experience in data science or a related field Strong knowledge of statistical modeling and machine learning techniques, such as regression analysis, clustering, and neural networks Experience with data analysis tools, such as Python, R, or SQL, as well as experience using Azure data science technologies, such as Azure Data Factory, Azure Data bricks, and Azure Synapse Analytics.
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Experience must include 6 months in each of the following: software testing; MySQL; Oracle SQL; Linux; Java; J2EE; JavaScript; ClearCase; Struts; Spring Boot; Python; HTML; and CSS. Deliver software features including full stack software development, machine learning, Artificial Intelligence, scripting and optimizing databases.
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We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.” We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.
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Strong command of programming languages such as R, Python, SQL, and tools for data management and analysis (e.g., Power Automate). Converting unstructured or semi-structured data into structured datasets using natural language processing, machine learning, and other extraction tools.
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Working with end users to help educate them in SQL, Python, and/or R, preferably with Apache Spark. Knowledge of broad reaching technology concepts including Artificial Intelligence (AI)/Machine Learning (ML.
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The ideal candidate will be highly skilled in data analysis, SQL, and AWS, with a strong ability to communicate complex findings clearly and effectively. Experience working in a machine learning environment is a plus.
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As a Senior Data Scientist, you will apply advanced statistical models, machine learning techniques, and big data analytics to solve complex problems in medical science, aiding in the development of groundbreaking treatments and healthcare solutions.
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Experience with generative AI, natural language processing, and/or machine learning methods. They will perform data cleaning and automated scripts, analyze textual and numerical data, and may utilize various tools to deploy generative AI, natural language processing, and machine learning workflows.
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We are seeking a skilled and motivated LMS Administrator to manage and support our Learning Management System (LMS) and related tools. Research, design, develop and maintain enterprise systems for our Leidos clients using the Adobe LMS/Moodle, SQL, API, and Azure in an Agile software development environment.
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