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CrowdStrike’s Data Science team is expanding. we are at the exciting intersection of Machine Learning, Artificial Intelligence, and Security and are looking to add a Data Science Manager specializing in machine learning to our growing team.
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EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Imagery Science, Mathematics, Physical Science, Remote Sensing, Geography, Computer Science, Data Analytics, or a related discipline that included 24 semester hours in Physical Science and/or related Engineering Science such as Dynamics, Electronics, Mechanics, and Properties of Materials.
$62,107 - $120,981ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Lead Data Scientist - Remote. Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
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Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etcKnowledgeable with Data Science tools and frameworks. Unified Care specialists support patients at home between doctor’s appointments with remote patient monitoring (RPM) and chronic care management (CCM) to achieve better health outcomes.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Your one-page cover letter should briefly describe your background and interest in IPL and the GeoMatch research program, your experience doing data science work in collaborative environments, and your motivation for joining a team using data science for social impact.
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Minimum Qualifications Mandatory Security Clearance Requirement: TS/SCI w/CI Poly BS or higher degree in Engineering, Science, Imagery Analysis, or related STEM degree Senior-level experience (12+ years) with SAR and GEOINT data.
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Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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Undergraduate degree in computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, or other fields, or equivalent experience.
$181,200 - $249,150 a yearFull-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad.
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Familiarity with using Databricks or a similar platform for data engineering & data science. Bachelor's degree in a quantitative discipline: statistics, applied mathematics, computer science, data mining, machine learning, or some other empirical science; in lieu of a Bachelor's degree, candidates with 9+ years of equivalent experience will be considered.
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Industry: Professional Services, Marketing, Technology, Digital Asset Management (DAM),Category: Content Management System (CMS), Rights Management, Tagging, Metadata, Quality Assurance, Information Science Position Summary: The Digital Content Coordinator is responsible for providing digital content workflow support to our clients, typically working within their DAM, PIM, CMS or other content repository which is a SAAS-accessible application.
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A Ph. D. or equivalent doctoral degree in environmental science, plant or crop science, computer science, bioinformatics, statistics, remote sensing, agriculture, biosystems engineering, electrical engineering, or related disciplines is required.
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As a Portfolio Analyst, you will be part of a team responsible for Data Science and Analytics Financial Operations and Lean Portfolio Management (LPM). In this role you will partner with Data Science and analytics team as well as finance partners to manage staffing, contracts, and finances, participate in financial exercises such as forecasting and reserving and help streamline our financial staffing practices as we onboard new tools in Apptio.
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Scale Splunk’s quantitative research practice through mentorship, coaching and enabling Researchers, Designers, Product Managers and partnering with other quantitative practitioners, including Data Science.
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We extend rapidly evolving technical capabilities – such as remote sensing and signal processing techniques, data science, software tools, and systems analysis – to under-served mission needs across the domestic and international landscape.
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