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Mathematical Statistician Or Statistician Data Scientist - Direct Hire - 12 Month Register - AMENDED
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Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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Advanced machine learning or predictive modeling or statistical techniques including multi-variate regression, k-means, hierarchical clustering and Decision Trees. Use advanced machine learning to identify right promotional channels and right frequency of outreach for key customers.
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Solid understanding of data management concepts - data processing, analytics, machine learning and visualization. Experience with Google & GCP data technologies (BigQuery, Cloud SQL, Data Studio), or equivalent technologies in the market.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure)Ability to interact at all levels of the client organization, build consensus and foster changeAbility to work independently, manage small engagements or parts of larger engagementsExperience with pre-sales, proposals and RFP activitiesSuperior critical thinking, analytical and problem-solving skillsWillingness to mentor and counsel junior staff.
$125,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Experience in data visualization and machine learning. Programming Language, Machine Learning, Optics, Python (Programming Language) Experience with RDBMS (PostgreSQL, MySQL), NoSQL databases, database migration, creation of objects in SQL, NoSQL.
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Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. Full stack ownership including design, implementation, and testing of new features which protect customers’ SQL Server and Exchange deployments in data centers and in the cloud.
$172,000 - $258,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You'll be part of our client’s internal Machine Learning Platform group that enables ML teams to iterate their projects faster, from: data engineering, labeling, training, online and offline evaluation, experimentation and more.
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Design features on an AI/machine learning driven decision engine integrated with core tech stack, write clear requirements and documents to communicate with developers. -Strong analytical skillset and experience with analytics tools (Excel, SQL, R, Python, Hive, Spark, and other statistical or data analysis packages.
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Designing data pipelines along with our Machine Learning and Data Enrichment teams to enable and scale our Machine Learning Operations objectives. This position is a critical piece of Barracuda’s mission to provide the absolute best in class protection efficacy to our customers through Intelligent Automation, Machine Learning, and Artificial Intelligence.
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Understanding of statistical modeling, machine learning, or data mining concepts, and a record of solving problems with these methods. A strong proficiency in querying and manipulating large data sets for analytical purposes using SQL-like languages (BigQuery & Hive Preferred.
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We are looking for someone with a strong knowledge of ML, NLP, Deep Learning, Knowledge Graphs and experience working with massive amounts of data. Experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, econometrics, causal inference, mathematical optimization.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Use data mining and machine learning algorithms to provide insights into historical and real-time data for applications such as anomaly detection, classification, and pattern recognition.
$35 - $46 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience coding in various programming languages (such as R, Python, SQL, and JAVA) to conduct various phases of data science projects. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project.
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The Data Intelligence risk control team in global payment team is responsible to optimize payment services in a data-driven approach with Data Engineering, Data Science, and Machine Learning efforts.
$187,040 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Basic experience or basic understanding of machine learning, data mining, and natural language processing. Experience with SQL, Hive, Presto, Hadoop, or other data querying languages.
$133,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago
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