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Degree in Law, Political Science, International Relations, Data Science, Journalism, Anthropology or related field. ● The ideal candidate will have a degree in political science, data science, international relations, journalism, digital media or a related field, or have a technical or advanced degree such as a PhD.
$55,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preparing and modeling data in SQL, Tableau, and/or Qlik; Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS.
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Bachelors Degree Required with majors in Biomedical Science, Computer Science, Mathematics, Engineering or business-related field preferred. The GPS AI & Data (AI&D) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
$107,925 - $179,875 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Provides complete and consistent documentation of data warehouse content in the Caboodle Console to ensure that users can determine what data is available in the warehouse, how this data is defined, and lineage to Epic Clarity.
$110,000 - $118,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master’s degree in Data Science, Statistics, Computational Social Science, Communication Studies, Political Science, or a related field. Bachelor's degree in Data Science, Statistics, Computational Social Science, Communication Studies, Political Science, or a related field.
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You will play an important role in building out the data science practice within the engineering group. The successful candidate will have a proven track record in data science and an in-depth understanding of machine-learning techniques.
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients.
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The position requires the integration of multiple geophysical datasets and interpretations, and the development of new concepts and methods to automate the processing of field data in near real-time to provide insights to wildland fire commanders regarding thermal and gas dynamics, burn intensity, and rate of spread.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A degree(s) in information technology, computer science or relevant field may be substituted per LCRA guidelines for certain years of experience. Note - looking for someone who has good experience in OT (Energy sector) cyber security field.
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Established in 2010, Jae Kim, founder of Chi’Lantro, started a food truck business by maxing out his credit cards and taking out his total savings of $30,000 to pursue his vision of building the world-leading Korean BBQ brand.
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You will specialize in building cloud-based data platforms incorporating advanced data engineering, data analytics and artificial intelligence technologies for Renewable Energy clients.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn, Deploying and optimizing different pipelines that support various data science processes. Machine Learning Engineer with + years of experience in designing, building, and maintaining machine learning models and pipelines.
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data science in out jobs in Austin, TX
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