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DATA STRUCTURES AND ALGORITHMS In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Perform sophisticated analytics (statistical and predictive analytics, root cause analysis, machine learning modeling, etc.) , machine learning, model development, business information visualization, etc.
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Demonstrated experience in data and analytics, computer science, statistical analysis, machine learning, hypothesis testing and data visualization. You have experience utilizing statistical and machine learning methods.
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Design and execute Proof of Concept projects using Machine Learning models, Redis, Kafka and Elastic Search. Designing and executing Proof of Concept projects using Machine Learning models, Redis, Kafka and Elastic Search.
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This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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As a Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in statistical analysis and machine learning libraries (e.g., scikit-learn, TensorFlow, Keras, XGBoost). Model Development : Design, build, and deploy machine learning models for regression, classification, and clustering tasks.
$75 an hourExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Familiarity with cloud-based machine learning services like AWS SageMaker, AWS Bedrock, Google AI Platform, Azure Machine Learning & Azure AI Studio. Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, RNNs, CNNs, etc.
$259,200 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) Deep understanding and experience with advanced analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP) or Computer Vision (at least 3 of these areas.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Working with the Machine Learning and Engineering team to develop new underwriting models, with the Product teams to develop new products and features, with the Merchant Pricing team to value different merchants, with the Finance team to help facilitate discussions with debt and equity investors are some parts of the role.
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The Opportunity The Lead Data Scientist – Anomaly Detection and Intelligence Analytics is responsible the development of statistical processes and machine learning models that improve USAA’s ability to detect unusual behaviors and trends that are early indicators of possible fraud attacks, technological outages, or other circumstances that could affect fraud performance or Member experience.
$286,130 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The Machine Learning Scientist will play a key role in designing and implementing advanced analytics solutions, employing statistical modeling, machine learning, and data visualization techniques.
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Leverage detailed knowledge of advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research. Minimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds.
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Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.
$278,875 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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This position requires candidate to be well versed with various machine learning/AI techniques and NLP techniques in order to analyze data and develop models/algorithms to solve business problems.
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