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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.
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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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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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This position requires:A bachelor’s degree in computer science, business or equivalent experience and eight or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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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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Essential Responsibilities Include: Teaching one or more undergraduate courses in the forensic science program. Successful candidates will draw on their professional experience to provide current perspectives from the field and help prepare students for successful careers in forensic science.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Bachelor's Degree with focus in finance, accounting, data, mathematics, statistics, computer science or other technical field. Investment banking, management consulting, private equity, data science, or other technical analyst-type experience is strongly preferred but not required.
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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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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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data science in out jobs Company: Discover Financial Services in Austin, TX
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