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Minimum of 7 years demonstrated quantitative analysis experience (data engineer, economist, data analyst, cost analyst, data scientist, actuary, investment analyst) Collaborate with (and sometimes lead) cross-functional teams of program and IT analysts, data engineers, and other project stakeholders to assess the viability of proposed models and methodologies.
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Bachelors degree in a highly quantitative and computational discipline (e.g., data science, business analytics, economics, statistics, computer science, etc.) This 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 as well as intelligent automation.
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The Global Customer Fulfillment (GCF) Amazon Customer Excellence System (ACES) team is seeking a Data Scientist to define and model volume availability from a Fulfillment Center perspective, as in what is the ideal assignment curve to feed FCs in order to optimize network throughput, labor, transportation, speed, and quality (DEA.
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Description: As a Data Scientist you will be delivering advanced data science capabilities to push forward national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to presentations with actionable intelligence insights.
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Knowledge/Experience: Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 5+ years of experience or Bachelor’s degree and 7+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
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Looking for a broadly talented Data Scientist with quantitative research skills to take an active role on our data analytics team. Proficiency in big data modeling work: Hadoop, Pig, Scala, Spark.
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Develop advanced quantitative models and analytic methodologies to anticipate potential threats, improve targeting of geospatial data collection, and enable automated identification of emerging issues and events.
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Marathon TS is currently seeking a Data Scientist to join our team. Ph. D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc. Master's degree in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.
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Solis Applied Science is seeking Entry, Junior, Senior and Expert level Data Scientist professionals with experience focused on conducting GEOINT data and intelligence science. Apply mathematical techniques to solve complex problems and develop quantitative based assessments to include statistical data analysis, knowledge discovery, and mathematical modeling.
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We are open to hiring candidates to work out of one of the following locations:Arlington, VA, USABASIC QUALIFICATIONSBasic qualifications include: •PhD in a relevant field, received within 2 years of starting the program; •Proven publication record in Operation Research, Management Science, Statistics, Machine Learning, Computer Science, Econ, or other related technical fields; •Experience in data science and quantitative research; •Proficiency in technologies relevant to the subfield.
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Apply and develop statistical and quantitative methodologies aligned to Lidar and 3D data, Radar data, Thermal data, Spectral data, OPIR data, or Photogrammetric processes to refine and improve GEOINT analysis and conclusions.
$62,107 - $120,981ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
$111,600 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Senior Information Operations Data Scientist provides support to the Headquarters Department of the Army (HQDA) G-3/5/7 DAMO-SOI. Master’s Degree with 10+ years’ experience or BS and 12+ years of experience statistics, mathematics, computer science, or other relevant quantitative fieldExperience with Service IA implementation and Information Operations, Cyberspace, Public Affairs and Psychological Operations (MISO) execution.
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