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Collaborate with the data scientist team. This Lead Sr. Data Analyst will join our Financial Planning & Analysis team and collaborate with other groups across Stride’s Analytics Community of Practice.
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The Scientist I will work with multiple phenotypic, genomic, and neuroimaging large datasets including the dbGaP, Million Veterans Program (MVP), All of Us, UK Biobank, Adolescent Brain and Cognitive Development (ABCD) study, and others.
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The National Security Sector at Leidos is hiring for a Senior Computer Scientist (Systems Administrator) to join our team supporting a U.S. federal government intelligence agency. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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The Leidos Innovation Center (LInC) Advanced Analytics team has an opening for a motivated Data Scientist supporting our 10-year DOMEX Technology Platform (DTP) contract working alongside software/system engineers and research/data scientists with expertise in multi-modal information retrieval, UI development, computer vision, metrics, information science, artificial intelligence, and autonomous systems.
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You will come with4+ years of experience in data science, predictive analytics, econometrics or related fields or 3+ years with Master's degree. 4+ years of experience in software engineering, data engineering, or related fields or 3+ years with Master's degree.
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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Proficiency in scientific coding, data analysis, and visualization tools (MATLAB, Python, etc.) Familiarity with photonic simulation tools and microfabrication techniques. Possesses a strong research background in areas like integrated photonics, quantum optics, or quantum information science.
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2+ years of experience as a data researcher, data scientist, or PQC scientist. Post Quantum Cryptography Scientist. Experience with data engineering and data deployment pipelines.
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The National Security Sector at Leidos is hiring for a Computer Scientist (Systems Administrator) to join our team supporting a U.S. federal government intelligence agency. Understanding of IC system architecture and the ability to implement and manage enterprise-level solutions.
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We need a Government Data Scientist like to empower government agencies to master their data and use it to achieve better, faster mission outcomes for the nation. As a Director - Government Data Scientist at Moody’s Analytics, you can use your skills and experience to support a mission and use data for good.
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Collects and interprets data for biomarker and biological characterization assays including cell-based, multiplexed protein assays, polymerase chain reaction and flow cytometry methods. May oversee screening operations, including scheduling, assay performance and data flow.
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Join our dynamic Investment Data Science Team as a Data Scientist and immerse yourself in the heart of the investment process. Dive deep into data analytics for thorough investment due diligence, balancing swift execution with meticulous analysis to assess potential risks and opportunities.
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Data Scientist- SME. Demonstrated experience using computer languages (e.g., Python, R, Pig, Java, C, SQL) to perform large scale parallel processing of data. Demonstrated experience manipulating high-volume structured and unstructured data to perform analysis and generate reporting/products.
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NFF is looking for a Data Scientist to support a Washington DC based Human Services client. We offer expert solutions relevant to: Network Infrastructures, Data Center & Cloud, Cyber Security, SMART/IoT Technolgies, Collaboration & Mobility and Workforce Augmentation.
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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 data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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