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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strong experience in big data modeling, data analysis, and Business Intelligence (BI) tools such as Tableau, Power BI or QlikView.
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As a Marketing Data Science Intern, you will collaborate with experienced data scientists and marketing professionals to support data-driven strategies for optimizing marketing effectiveness.
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You are very skilled at using one or more BI tools (e.g. Tableau, Sigma, Looker), cloud data warehouses (e.g. Snowflake, Redshift, Big Query), data transformation frameworks (e.g. dbt), and data science tools (e.g. Python/Jupyter, Julia, R.
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Experience in software engineering, including hands-on expertise in ETL/Data pipeline and data lake platforms like Databricks, Spark/Hadoop, and Snowflake. Experience with data cataloging tools and systems (e.g., Collibra, Alation, Informatica, Atlan, Databricks Unity Catalog.
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Bachelor’s degree or above in quantitative or engineering fields (Statistics, Economics, Mathematics, Health/Medical Informatics, Computer Science, or similar) The primary objective of the Data Organization is to harness healthcare data to support and promote value-based care contracts between health systems, providers, health plans, and other third-party risk bearing entities; incentivize quality, utilization, and experience outcomes; and enhance payment operations with both services and product development.
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The research portfolio of the Dermatology Service includes optical engineering, artificial intelligence, basic science, translational science, epidemiology and clinical trials with over $5 million of annual funding from NIH, Foundations, Industry, and philanthropic sources.
$510,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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You will provide a range of qualitative and quantitative consulting services in the areas of data science, AI, model development, model validation, model risk management, modeling technology, model governance / controls / documentation, and financial instrument valuation.
$207,763 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
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You will be able to demonstrate knowledge and expertise in data engineering best practices and concepts using Databricks. Predictive, Prescription, and Descriptive Analytics using Data Science tools and technologies.
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Requirements: Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics or a related field and ten (10) years of progressive, post-baccalaureate experience as a Director – Principal Engineer or related occupation in data engineering and big data applications.
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Primary responsibilities for Assistant Professor will include teaching a range of computer science courses like programming, web development, software engineering, artificial intelligence/machine learning, cloud computing, cybersecurity, data analytics/data science, blockchain.
$75,465 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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8+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
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Bachelor’s degree in Financial Engineering / Quantitative Finance, Math, Statistics, Data Science, Engineering, Economics, or other relevant program. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities.
$115,850 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
data science big engineering jobs Company: Ey in New York
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