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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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Passion for big data, analytics (MMM, MTA, Experimentation), data science, and machine learning: comprehension of marketing analytics, specifically Marketing Mix Modeling, Multi-Touch Attribution (MTA), media strategy, media planning, identity resolution, data management, onboarding, remarketing, and data science is an advantage.
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Degree in a data related field computer science, management science, information technology, statistics), public health, medicine or healthcare, healthcare policy, public policy, social science, economics, or related field with 8 or more years of experience.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Working/functional knowledge of data science techniques for geospatial analysis. Knowledge of other GIS applications such as ArcGIS Earth and QGIS. Ability to create and incorporate imagery into geospatial intelligence products Degree in computer science, geography, surveying, engineering or related field.
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The SCS A nalyst will develop baseline and also evolving knowledge on US adversaries in geopolitical, information, military, science and technology, and space realm through regular open source and classified research on foreign weapons programs and associated acquisition programs , development, testing, and depl oyment.
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Qualifications Minimum Qualifications: Bachelor’s degree in marketing, communications, public relations, political science, business administration, or a related field from an accredited university.
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Superior modeling and analytical skills applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Staying current on the latest developments in climate science and catastrophe risk modeling.
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We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employers data processor SonicJobs. Principal DevOps Engineer Bachelors degree in a STEM field (ideally Computer Science or Engineering) and 5 years of experience; OR a masters degree and 3 years: OR a PhD and 0 years.
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Basic Qualifications:Bachelor’s degree in biology, biomedical science, or a related field OR High school diploma and 9+ years of experience with biomedical vocabulary, principles, and facts3+ years of experience with reading and summarizing formal biomedical literature on diverse biomedical topics such as anatomy, physiology, psychology, genetics, biochemistry, and health care practices.
$122,328 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In-depth knowledge and demonstrable experience with the intelligence production cycle, executive intelligence production, graphic design, web development, and data science and related technologies.
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As a Principal Data Scientist, you will lead innovative data science projects and teams, using your expertise in machine learning, particularly Time Series, Natural Language Processing (NLP) and Large Language Models (LLMs), to develop scalable, ethical solutions that transform customer interactions with their finances.
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Demonstrated experience embracing and participating in a culture of knowledge sharing to broaden the understanding of: o advanced methods or o niche statistical methods and o data science analytic methods and o coding techniques to include fundamental understanding of model/formula strength, limitations, warnings and weaknesses when applied in various scenarios.
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data science jobs in Great Falls, VA
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