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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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3+ years of experience leading Data Science teams. TikTok's Data Cycling Center Team is actively seeking a Lead Applied Scientist to fortify our data management and analytics capabilities.
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Preferred Area of Experience: Microsoft , Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
$70 - $90Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Drawing on experience in systems, biochemistry, electrochemistry, electromechanical and/or materials science, the System Engineer will be part of the troubleshooting team and will be responsible for supporting the nextgeneration sequencing system and the sample prep platform.
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Sanmina's PCB division is at the forefront of this renaissance, offering new opportunities for talented engineers in chemical engineering, material science, physics, and mechanical engineering.
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As part of this mission, USRA is conducting collaborative research for the investigation of hazards and resources with the USGS Earthquake Science Center, Geology, Minerals, Energy, and Geophysics Science Center and the USGS National Innovation Center.
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Creative and Innovative Thinking- Find creative and innovative solutions for complex data science, software and business issues and apply these solutions to resolve problems. We are looking for a Data Science Manager to lead our Global Data Science team.
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Vice President, Environment & Science, The David and Lucile Packard Foundation. The Vice President will oversee three existing initiatives (Global Climate, Climate Innovation, and Ocean) as well as our support for the Packard Fellowships for Science and Engineering and the Monterey Bay Aquarium Research Institute (MBARI.
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Degree in Arboriculture, Forestry, Horticulture, Turfgrass, Environmental Science, Plant Science, Outdoor Recreation, Agriculture or a related field is preferred but not required. Degree in Arboriculture, Forestry, Horticulture, Turfgrass, Environmental Science, Plant Science, Outdoor Recreation, Agriculture or a related field is preferred but not required.
$24 - $37 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with product, data engineering, or sales analytics and/or data science. Write SQL/Presto/Trino/Spark queries to extract the necessary data and leverage data visualization tools such as Tableau to present the information.
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Experience working on cloud platforms (AWS/Azure/Google Cloud)Expertise in Snowflake, Databricks, Big Query, SynapseExperience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra)Good understanding of GenAI/AI, ML implementation life cycle, latest tools and offerings.
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Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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The Adobe Experience Platform handles petabytes of data on behalf of organizations allowing them to have a centralized and standardized data platform applying data science and machine learning (ML) to spectacularly improve the design and delivery of rich, personalized experiences.
$154,000 - $278,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a highly skilled and experienced Data Engineer to join our HR Data and Analytics Team. As an Experienced Data Engineer, you will play a crucial role in enabling analytics across the HR organization, empowering data-driven decision-making.
$110,000 - $176,100 a yearFull-timeExpandApply NowActive JobUpdated Today
data science jobs Title: engineer Company: General Dynamics Information Technology in Santa Clara, CA
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5 Common Interview Mistakes
Everyone's interview process is unique in some form or fashion. Like most, your interview process is crafted so you can get the most information out of your candidates to increase hiring confidence and make the right hiring decisions. However, there are often small problems in interview processes that could ultimately affect the success of hiring decisions.
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It might be tempting to overlook the importance of a well-written job description. After all, if you’ve posted job ads before and ended up with tons of resumes in hand, it’s easy to assume that this will always be the case, regardless of how your job ad reads. But, in reality, you really can’t take getting an influx of resumes for granted.
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When tax time rolls around, the last thing you want to worry about is having to track down a W-2 from your former employer. Many times you won’t have to because the IRS requires companies to send these forms to all current and former employees who have earned more than $600 in the last year. Unfortunately, there are employers who don’t do what they’re supposed to. There are even times where something else may happen that prevents the W-2 from getting where it’s supposed to go.
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Imagine you’re in an elevator with the CEO of your dream company and you get to talking. The conversation is going well and you start to imagine yourself working for their company when the CEO turns around and asks you “tell me a bit about yourself.” Would this catch you off guard or would you be able to give a clear and succinct description of who you are?