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Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
$70 - $80 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Job title: Lead Azure Data Engineer / Architect. Expertise in Azure Data Factory (ADF), Azure Synapse Analytics and Azure Data Lake Storage (ADLS). This role is pivotal to the success of our data engineering team, as it involves working with cutting-edge tools and technologies to deliver robust data solutions.
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This Big Data Analyst helps Southwest deliver on our Purpose by working with all Data Science, Machine Learning, and Artificial Intelligence Teams across the enterprise to enable model deployment, implement and maintain model accuracy, and monitor data drift.
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As a Sr. Data Engineer, you will be part of a talented team of engineers responsible for the deployment and configuration of cloud resources to meet individual client business needs in AWS. Client engagements cover a wide variety of business requirements and require our engineers to adapt quickly and stay on top of recent cloud technology trends.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Bioinformatics Infrastructure: Contribute to the design and optimization of bioinformatics infrastructure, ensuring scalability and performance; Stay abreast of emerging technologies and tools in the NGS and data science fields.
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The director provides leadership for enterprise data security strategy, data architecture, and data operations and development. Bachelor's degree in IT, computer science, or related field preferred.
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The Medical Science Liaison (MSL) is responsible for identifying disease and product related medical needs in a defined geography. The MSL role embodies our medical mission to be recognized as the trusted partner for internal stakeholders and the healthcare community, driving scientific exchange to enhance medical education, data generation, insight generation and patients' access to medicine.
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. 1 -2 years of industry experience, with work in a quant or data scientist field preferred.
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The successful candidate will have a strong background in processing data from streaming, real-time, and batch sources using Azure technologies. Experience with data visualization tools like Tableau.
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The Data Engineer responsible for designing, developing, and maintaining data pipelines in support of data engineering and data management activities. The Data Engineer develops data solutions with moderate to high complexity that also have moderate to high business criticality.
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Demonstrated Experience in Python programming and familiarity with core data science libraries. We are hiring a Data Engineer - Onsite at Boston, MA to join our Digital Engineering team.
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Technical Acumen: Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight: Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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data science jobs Title: big data engineer in Dallas, KS, Arizona
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