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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Key Words:Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence ManagementThe base pay range represents the anticipated low and high end of the pay range for this position.
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Desired Skills and Experience:· Understanding of cloud computing platforms (e.g., AWS, Google Cloud, Azure) and experience with deploying and managing data science models in production. Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningCompetenciesData Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree.
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Essential Skills and Experience:· Experience in data science, machine learning, or a related field. · Understanding of the latest trends and best practices in data science and machine learning, including the use of generative AI models.
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Education: Bachelor's degree in computer science, information technology, or related field; master’s degree in data science or a related field preferred. Strategic Thinking: Ability to craft and execute a data strategy that integrates data analytics, data science, and machine learning to support business objectives and foster innovation.
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At least 5 years of professional experience in an economic related field of Business, such as an Economist, Financial Management, Market Research Analyst, Financial Analyst, Budget Analyst, etc.
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Bachelor’s degree or higher in data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred. As needed, collaborate with internal and external collaborators to identify optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using data science.
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Continuously evaluate how best to leverage and implement best practices to guide a cross-functional team of Data Science Engineers, analysts, and scientists to curate data models in dbt to build connective tissue of applied business logic on hierarchical data that power company-wide shared metric definitions, naming conventions, and insights.
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Experience with deep learning, data science, and NVIDIA GPUs. Bachelor's degree or equivalent experience in Business, Computer Science, Engineering, or a related field; advanced degree is a plus.
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As an EY IT Senior Analyst, you will engage in discussions on the development of innovative software applications including areas such as software architecture design, Artificial Intelligence (AI) and Machine Learning (ML), cybersecurity, Blockchain and Distributed Systems, telecommunication, cloud computing and virtualization, data science and big data, and other high-tech fields with a host of industry leaders.
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The Investor Reporting Analyst will partner closely with our Servicing team, gathering data, detailed analysis, and trend spotting, as the loan transaction activity impacts the downstream Investor Services & Operations teams reporting responsibilities.
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As an Analyst with Kimley-Horn, you will benefit from hands-on experience, technical software and consulting trainings, and developmental programs geared towards growing Kimley-Horns future leaders.
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Ph. D. in Chemistry, Biophysics, Physics, Biology, Computer Science, or a related field, with a strong emphasis on machine learning and computational modeling. Contribute to the development of new methodologies for integrating experimental data with computational models.
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computer science data analyst jobs Title: associate in Dallas, Annandale, Virginia
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