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Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
$189,615 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Experience with tools such as Confluence, Eclipse, Jira, Jenkins, Junit, Kafka, and Spring Boot. Typically requires a Bachelor's degree in Science, Technology, Engineering or Mathematics (STEM) and 5 years of relevant software engineering experience.
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8+ years of data engineering or data analysis experience using core data tools as Azure Data Factory, SSIS, and Apache Airflow and use of languages such as SQL, Python, R, and Excel.
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Strong knowledge of data technologies, such as Snowflake, Databricks, Apache Spark, Dbt, Fivetran, Azure Data Factory. Design and implement end-to-end data solutions using technologies such as Snowflake, Databricks, Azure.
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Participate in designing, coding, unit testing, debugging, configuring, maintaining and documenting of high-quality Java applications using Spring Boot, Apache Camel, Spring Integration, Spring MVC, Angular, Oracle, PostgreSQL in on-prem and AWS cloud environments.
$75 - $80 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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BlueTriton Brands, Inc. (“BlueTriton”) is a water and beverage company in North America that produces and distributes a portfolio of brands of spring water, purified water, and other beverages, which include Poland Spring®, Deer Park®, Ozarka®, Ice Mountain®, Zephyrhills®, Arrowhead®, Origin™, Saratoga®, AC+ION®, Pure Life®, B’EAU®, and Splash Refresher.
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Serve as a consultant to embedded delivery, analytics and data science teams in the development of their data strategy and the ideation, design and implementation of data solutions including data assets and insights.
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Ph. D. in Chemistry, Biophysics, Physics, Biology, Computer Science, or a related field, with a strong emphasis on machine learning and computational modeling. Contribute to the development of new methodologies for integrating experimental data with computational models.
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3+ years of professional experience building data pipelines using ETL tools, data engineering packages, and frameworks such as Informatica, Python, R, SAS, Alteryx. By leveraging enterprise tools, technologies and code, we are able to build data pipelines, Business Intelligence tools, automation frameworks, web tools, to create a comprehensive data ecosystem that supports Credit Risk Management via analytics, modeling and reporting.
$188,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Bachelor's degree in Business Administration, Computer Science, Mathematics, Engineering, Accounting, or a closely related field and three years of progressively responsible related experience in natural gas utility operations, gas measurement, transmission, and distribution; or.
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MATLAB, MATHCAD, LabView, JMP, SpotFire, MiniTab, and other relevant engineering software packages to analyze data. Experience operating and/or interpreting data from a scanning electron microscope, FTIR, ellipsometer, or other thin-film characterization and metrology tools and techniques.
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We are seeking a talented and experienced Analog Design Engineer with expertise in Power Management Integrated Circuit (PMIC) design, as well as experience in areas such as energy harvesting, charging, protection, data converters, power efficiency, miniaturization, telecom, signal chain, power storage, and logic.
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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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data science spring boot jobs Title: data scientist in Dallas, NV, Arizona
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