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Proficient in analytics and visualization platforms (Funnel.io, Looker Studio, Power BI, Tableau) and experienced with advertising networks (LinkedIn, Meta, programmatic networks) and their APIs. Advanced knowledge of statistical analysis, machine learning algorithms, and predictive modeling techniques.
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Our high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence.
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Experience with one or more analytical systems, such as Python Anaconda, R Studio, Databricks, Palantir, Snowflake, Azure analytics, AWS analytics, or Google Cloud Platform (GCP) analytics.
$111,400 - $213,600 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Provide SME support on a wide range of AI capabilities like predictive analytics, data science, natural language processing (NLP), computer vision, process automation, machine learning, and generative AI.
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We cover every aspect of data analytics and data science, from data architecture to data engineering, visualization, predictive analytics, machine learning, and artificial intelligence.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics, machine learning (ML), and artificial intelligence (AI) as well as robotic process automation (RPA.
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You'll grow your skills in data science, predictive modeling, and AIand shape the future of analytics through a variety of means like peer-reviewed papers and major conference presentations.
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Proficiency in standard data analytics toolkits such as Tableau, Qlik, R, Python, Matlab, SQL, dashboards, data mining, and/or statistical modeling for predictive analytics. Performs analysis, design, development, and testing activities in support of project reporting, and data analytics solutions across a wide range of operational functional areas.
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Proven experience (5+ years) as a Data Scientist, with a focus on data modeling, predictive analytics, and machine learning. Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.
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You’ll develop algorithms, write scripts, build predictive analytics, apply ML and deep learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help drive innovation, research, and development for our military and government leaders to make informed decisions.
$93,300 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Position Overview:Freddie Mac’s Climate Risk team within the Servicing Portfolio and Analytics department is seeking a Quantitative Analytics Director to lead the research on how borrowers respond to climate risks.
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Manages the Database Engineering Team for successful performance consistent with contractual agreements concerning database administration, data integrity, data quality, reporting, statistics, and predictive analytics.
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Process control expertise such as time series analysis, model predictive control, multivariate modeling, optimization, R2R, SPC, and FDC. Applied Materials AGS Automation Products Group (APG) is hiring an application engineer to support product development, customer deployment, and services for Applied SmartFactory® and SmartFactory Rx® automation products and solutions in the areas of manufacturing execution, factory performance, equipment performance, and advanced process control.
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The Data Scientist & Advanced Analytics Team Coordinator will orchestrate the analysis of complex datasets to drive predictive modeling and insights into food security trends. Utilize advanced analytics and machine learning techniques to develop predictive models for identifying regions at risk of food insecurity and famine.
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predictive analytics jobs in Washington, DC
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