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Data Scientists contribute to projects involving one or more of the following disciplines: Data Science, Applied or Theoretical Machine Learning, Deep Learning, Deep Reinforcement Learning, Physics Inspired ML, Classification Systems, Natural Language Processing, Artificial Intelligence, or Computer Vision.
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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MBRDNA is headquartered in Silicon Valley, California, with key areas of Autonomous Driving, Advanced Interaction Design, Digital User Experience, Machine Learning, Customer Research, and Open Innovation.
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Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing. Knowledge of text mining or machine learning techniques. Experience developing machine learning models using DataRobot's automated platform.
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Manage services from Public Cloud Hyperscalers like Microsoft Azure, Amazon AWS, Oracle OCI, Google GCP, and Alibaba Cloud on services like Cloud Compute, Storage Services, Data Services, DevOps, CI/CD, MicroServices, Service Mesh, Containerization, Artificial Intelligence, Machine Learning platforms and End-to-End Observability.
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Hands on experience with Modern Data Warehousing in cloud, Azure Data Factory, Azure Databricks, Pyspark, Azure DevOps, Azure Machine Learning, Azure Data Lake, Power BI, MS SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, Natural Language Processing, Scikit-Learn (Classification, Clustering and recommendation system.
$44.42 - $71.05 an hourFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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You will also perform DNA/RNA/protein isolation/extraction/quantification from assorted biological material and tissue, as well as cell culture work, DNA/RNA/protein assays, research data procurement, and data analysis.
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Experience with Artificial Intelligence/Machine Learning (AI/ML) applications for image processing. Develop image processing algorithms for Electro-Optical/Infrared (EO/IR) or Hyperspectral Imagery (HSI) data.
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Continuously improve knowledge and abilities in the areas of software and data engineering, statistical learning, and machine learning. Implement new statistical, or machine learning, models and maintain existing models, used in all facets of player acquisition and game play.
$120,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
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Demonstrated expertise in hydrology, water resources, or environmental engineering with a specialization in one or more areas, but not limited to, surface and/or groundwater hydrology, climate change, remote sensing, extreme events, land-atmosphere interactions, artificial intelligence, big data, or machine learning.
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Working understanding of enforcement of compliancy requirements and being able to supply audit data. Lead a geographically dispersed team of ~ 20 consisting of DevOps Engineer, Value Stream Delivery CI/CD, Deployment, DevSecOps, SRE and Observability.
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Innovative, authentic, and inspiring applicants are sought to apply for the CSULB TRIO Educational Talent Search (ETS) Director position, a 100% federally-funded TRIO program. Learn More: Educational Talent Search | California State University Long Beach (csulb.edu.
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The ability to understand and implement publications in the fields of Data Science/Machine Learning as applied to marketing. Familiarity with Machine Learning techniques (e.g. classification, clustering, regularization, optimization, dimension reduction, feature engineering.
$126,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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5+ years of experience with data exploration and visualization like Tableau, Looker, PowerBI, etc. Understands data to be mined from the service ticketing system, and pulls data to create KPI dashboards on first-time fix rate, response time, field work order status, etc.
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Vehicle Shop Equipment: Vehicle Hoist Diagnostic Scan Tools Brake Lathe Tire Mounting Machine Tire Balancer A/C Recovery/Recycle Machine Pneumatic air tools. This may include data entry, parts ordering, etc.
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