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Bachelor's degree in computer science or a related field plus 3 years' experience in data science, data engineering, software engineering, or related domain. Data science, machine learning, optimization models, Master's degree 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.
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Ph. D. degree in Chemical Engineering, Mechanical Engineering, Chemistry, Inorganic Chemistry, Materials Science, or Equivalent. Master's degree in Chemical Engineering, Mechanical Engineering, Chemistry, Inorganic Chemistry, Materials Science, or Equivalent.
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Areas of work include Artificial Intelligence, Computer Vision, Data Science, and Deep Learning. PhD or MS degree in Physics, Optics, Material Science or Electrical Engineering.
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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develop and execute against a technology roadmap for data engineering to address critical challenges and pain points – i.e. identify, sequence, and deploy relevant enterprise platforms, tools, and capabilities to evolve Xenon’s data infrastructure and address critical needs.
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Working across technical and functional teams, you will utilize the latest data science, data engineering, data visualization and business intelligence strategies, methods, and standards to bring forth market leading insights.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
$181,800 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Designing and developing the data engineering strategy to allow for a scalable and reliable data architecture supporting multiple platforms and considering data ingestion, transformation, and storage; supported with detailed documentation and maintenance of processes, methods and procedures including Python and SQL codes.
$181,800 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must be pursuing a Bachelor's degree in a Mechanical Engineering, computer science or mechatronics program. The Data Platforms Engineering and Architecture (DPEA) Group invents, designs & builds the world's most critical computing platforms which fuel Intel's most important business and solve the world's most fundamental problems.
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MS/PhD in Polymer Science, Polymer Engineering, Polymer Chemistry, Materials Science and Engineering, Chemical Engineering, Chemistry, or related fields. Computer skills: CAD, scripting e.g., Python, data visualization e.g. tableau.
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Work with cross-functional teams across analytics, data engineering, data science, sales, and product to rapidly understand the Mailchimp data landscape, and serve as the subject-matter expert for all technical marketing data requirements.
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Master's degree in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
$146,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Masters of science in RF engineering, electrical engineering, physics, or related discipline. Bachelor's of science in RF engineering, electrical engineering, physics, or related discipline.
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Job Segment: Cloud, Electrical Engineering, PLM, Data Center, Engineer, Technology, Engineering, Management. Play a key role in technical review of pre-sales engineering to post sales integration, testing and deployment, responsible for overall build quality and technical soundness of the customer projects.
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Lead the design of enterprise-grade data platforms addressing needs across Data Engineering, Data Science, and Data Analysis, capitalizing on the capabilities of Azure Databricks.
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sales engineering data science jobs Company: Crowdstrike
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