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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience with either Python, R or SQL.
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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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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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Senior Data Scientist - Ad Tech Fraud Detection & Prevention with AI/ML Focus and Privacy Expertise Employment Type: Full-Time. Leverage advanced machine learning techniques, including deep learning and reinforcement learning, to improve fraud detection and prevention models while adhering to privacy regulations.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience scripting in PowerShell and BASH command line interfaces or in Python or Perl scripting languages.
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Experience with programming languages (SQL, R, Python), front end design languages (HTML, CSS, JavaScript), developer packages such as Jupyter Notebooks. · 3 years of experience with Esri ArcGIS desktop and enterprise products, knowledge of GIS data types, GPS collection, relational database management systems (RDBMS), spatial analysis, and cartography.
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Required 3 Years · Experience with deployment and management of data science tools and modules such as JupyterHub. Required 3 Years · Experience with ETL, data processing, analytics using languages such as Python, Java or R. Required 3 Years · Databricks Certified Data Engineer Professional · Experience with Cloudera Data Platform.
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Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems. The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Proven experience as a Data Modeling SME or similar role with a focus on Databricks, Tableau, GA4, Looker, and PowerBI. Proficiency in Python for developing and implementing analytics solutions.
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Experience in managing projects within a team setting that provides IP database management on large data sets for analysis using statistical signature packages (e.g., STATA, R, Python, etc.
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Experience in any of the following programming languages: Python, R, MATLAB, Java, C. Our support across our client base is expanding rapidly and encompasses important services, such as data analytics and visualization, threat analysis, risk management, modeling and simulation, cost estimating, earned value management, program management, system engineering, independent evaluation, and High Consequence Event prevention.
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Implementing and validating predictive and prescriptive models, creating and maintaining statistical models with a focus on big data and incorporating machine learning techniques in your projects.
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High level of proficiency in Python, DataBricks, SQL, Spark, and other Data Engineering and DataScience tools. Desired Qualifications:- TS/SCI clearance is required- Minimum of 3 years of experience as a military Data Subject Matter Expert or related role, withdemonstrated experience with digital strategy, IT project management, enterprise architecture,SDLC (Software Development Life Cycle), or transformation.
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In-depth knowledge of AI/LLM and machine learning architectures and best practices for securing them. Proficient in coding languages such as Python, R, C. Experience with health-tech systems, like Electronic Health Records, Clinical data, etc preferred.
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The Data Scientist & Implementation Specialist will support the Armed Forces Health Surveillance Division (AFHSD) GlobalEmerging Infections Surveillance (GEIS) Branch efforts to coordinate infectious disease surveillance data collection, management, analysis, and visualization activities within the Department of Defense (DoD) in order to provide early detection, prevention and response to infectious disease threats of military relevance.
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python r data scientist machine learning jobs Company: Pwc in Washington, DC
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