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Principal Data Scientist 10+ years of industry experience and 3+ years as either a lead in a data science role or in a management position in data science with a PhD/MS in PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.
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Master’s Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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Intuit is hiring a Principal Data Science Architect to join our Intuit AI team. 3+ years as either a lead in a data science role or a management position in data science.
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Create tools and resources to improve transparency in Data Science technical architecture and increase collaboration with engineering and analytics partners. Dedication to mentorship and growing strong collaborative data science teams.
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Risk analytics/operations, data science experience or similar quantitative business responsibility for financial services, eCommerce, or operational performance highly desirable. Deep expertise in risk, payments, data science, analytics, business consulting an/or operations is required.
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PhD in Engineering (e.g. Computer Science, Data Science, Information/Data Management, Math, Statistics, Information Theory, etc) or related field. Data Storage technology (SSD, HDD, etc.
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2-5 years of combined post-doctoral or other industry experience in machine learning (ML) and/or artificial intelligence (AI) data science technologies, including Natural Language Processing (NLP.
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Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, related field, or equivalent practical experience. Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C.
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Experience Requirements: Ph. D. in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, health sciences or related areas, or equivalent combination of education, training, and experience.
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HALO team is the quality, evaluation, and data annotation partner across AI at Linkedin, supporting multiple AI teams and products to make a difference and accelerate progress. Global Data Privacy Notice for Job Candidates.
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Experience in data science including data collection, analysis, hypothesis formulation and verification. Work with large-scale datasets collected from sensors such as cameras, LiDAR, and radar to extract relevant features and preprocess data for model training.
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Research and develop new capabilities within the data domains (data ingest, data integration, data labeling, data cleansing, data processing, data and AI analytics, data management.
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We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
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