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A team of experts in social-emotional learning, physical activity, the education landscape, and ed-tech platforms guides us. Motivate TK/K-6th grade students through social-emotional learning and enrichment activities including STEAM.
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Responsibilities:Data Science Strategy: Develop and implement Statistical, Machine Learning, Deep Learning, NLP, Gen AI modeling, development and fine-tuning strategies, best practices, and standards.
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Apply knowledge of data analysis methods and techniques, such as dimensionality reduction, predictive modeling, and text mining, to perform feature engineering. As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of databases and data mining / big data analytics / predictive analytics (e.g., SQL, PowerBI, Tableau, Alteryx, Data Lakes, Data Warehouse)Knowledge and experience in advanced Optical Systems, EO/IR Sensors, or ISR applications.
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Research and education areas at DIMACS include algorithms, combinatorics, complexity, privacy and security, discrete and computational geometry, optimization, graph theory, data science, artificial intelligence, and machine learning, with applications in sustainability, epidemiology, genetics, networks, transportation, security, and economics.
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Proficiency in Python, with strong skills in relevant data science and machine learning libraries such as TensorFlow, PyTorch, scikit-learn, and pandas. Apply sophisticated machine learning methods, including deep learning, optimisation, and causal analysis, to develop innovative models for biological data analysis.
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Work on highly-scalable classifiers, predictive models and algorithms in big data mining, computer vision, NLP and other domains. We embrace the state-of-the-art machine learning technologies and scale them to detect and improve the tremendous amount of data generated on the platform.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
$228,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
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Are you a seasoned Machine Learning Engineer with a background in software development and a history of crafting production-level applications? Our Machine Learning department is expanding, and we’re in search of a Machine Learning Engineer with a solid track record in the creation and implementation of Machine Learning workflows.
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5-8 years of geotechnical consulting or coal mining geology experience. Typical assignments covering both AML and other supporting work include geotechnical and geological assessments, hydrogeological studies, and subsurface investigations; sampling of soil, sediment, rock, surface water, and groundwater; data interpretation/evaluation, logistical planning, project tracking, process QA/QC, and technical reporting.
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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, and Machine Learning engineers for full-time positions with clients.
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Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with machine learning concepts and frameworks is a plus. Strong understanding of database design, SQL, and data modeling principles.
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For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, google, Paypal, Western Union, Client, visa, Walmart lab s etc to name a few.
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machine learning data mining predictive modeling jobs Company: Visa
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