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Certificates earned in data mining, machine learning, deep learning, statistical modeling, cloud computing, and data engineering. Master's or Doctoral degree in Computer Science (with a focus on Data Mining, Machine Learning), Statistics, Econometrics, Operational Research, or other rigorous quantitative disciplines that require processing and modeling data at a complex and large scale.
$152,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Build across the entire machine learning development process to implement machine learning algorithms in production, including exploratory data analysis, data modeling, feature engineering, model training and tuning, testing, deployment, and monitoring.
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Familiarity with machine learning algorithms and data science principles. Collaborate with data scientists and analysts to integrate advanced data rules and machine learning models into the creation of the profile.
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Technical knowledge of neuroimaging and brain anatomy, experience with organizing, maintaining, and analyzing large brain imaging datasets, programming expertise with python, Bash and parallel computing, experience with Brain Imaging Data Standards (BIDS) and MRI—based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred.
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Reporting to the CFO, you will own the entire business intelligence function: you will be the expert on company data and use that knowledge to answer questions, provide insight, and improve the business.
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Analysts focus on improving business results through the combination of statistical rigor, data analysis, and fast paced execution with an emphasis on driving actionable business recommendations.
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Passion for staying updated on the latest advancements in software engineering and machine learning. You'll develop data integrations for our dental record management system, manage and organize training data for Machine Learning development, and evaluate cutting-edge machine learning technologies for dental X-ray analysis.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Groups of Dr. Omar Al-Louzi (Visual Outcomes Laboratory) and Dr. Pascal Sati (Neuroimaging Program) are seeking a highly motivated and talented Postdoctoral Researcher to lead multi-modal (OCT/A, MRI, PET) image analysis research projects using advanced machine learning in patients with neurological conditions.
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Bachelors or an advanced degree in GIS, environmental science, geology, geomatics engineering, geotechnical engineering, or related field with demonstrated GIS training or coursework. Understanding of remote sensing general principles and applications (e.g., LiDAR) and experience using derived data products (e.g., las dataset, DEM, DSM.
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3-5 years of relevant analytics engineering, data engineering, or business intelligence experience in a fast paced, high growth environment. Analytics Engineering helps solve the scale problems and common data access patterns encountered by analysts, data scientists, and other business data consumers.
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Identify, document, and promote data engineering best practices on the team and in the larger organization. Data privacy is a top priority, and we focus on enabling measurement with and without IP and PII data, breaking down walled gardens.
$200Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Collaborate on product spec and engineering spec, and bring valuable insight from both a business and technical perspective. Hands-on coding experience using Typescript/Javascript, Java, Python, C, C.
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You will be expected to work on numerous aspects of Machine Learning such as feature engineering, predictive modeling, probabilistic modeling, hyper-parameter tuning, scalable inference methods and reinforcement learning.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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hands on machine learning data engineering business jobs Company: Meta in Los Angeles, CA
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