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BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 6 years directly related data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role.
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We sre seeking experienced data scientist to solve cutting-edge metrics and measurement problems in the space of Search, and lead cross-team initiatives. The role requires not only skills in data science, but also knowledge in data engineering and systems.
$158,500 - $276,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with engineering to build pipelines and tools for data ingestion, feature engineering, model training, model deployment, and improvement. Identify meaningful insights from complex data sources; interpret and communicate insights and findings to engineering teams and leadership.
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The Staff Analytical Scientist will be part of a team involved in DNA/RNA analysis, sample preparation, method development, data analysis, and instrument development. Our client, a biochemistry analytical company, has engaged GForce Life Sciences to provide a staff analytical scientist.
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Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. As a Data Scientist, you will evaluate and improve Google's products.
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This role combines the expertise of a data scientist with the responsibility of overseeing and optimizing our Enterprise Resource Planning (ERP) system in strong coordination with the Group IT. The ideal candidate will have a strong background in data science, statistical analysis, and machine learning, coupled with hands-on experience in managing business processes (Offer to Cash -OTC) within the ERP systems.
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Education: Bachelor's or Master's in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative discipline.
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Center 3 (19075), United States of America, McLean, VirginiaPrincipal Data Scientist - NLP. Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics.
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PLEASE NOTE: Position requires data scientist/data engineering skills. Bachelor’s Degree in Data Science, Data Engineering or related field, or equivalent experience.
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This person will develop a deep understanding of the analytical need and leverage knowledge of Equifax data assets, big data technologies, data engineering, keying and linking concepts, build attributes and statistical models using traditional and modern machine learning techniques.
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Are you an AI Scientist that likes to perform research-level AI/ML data analytics? B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master's degree or equivalent graduate degree including certificate-based advanced training courses.
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Position - Data Scientist. Bachelor's Degree/master's degree in computer science, Mathematics, Statistics, Computer Engineering. Deploy and optimize machine learning solutions on massive datasets using big data technologies.
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Proficient in software engineering, with the ability to develop large scale and low latency infrastructure for deep learning data, modeling, and system evaluation. This position is for a Principal Data Scientist with strong Machine Learning System development experience, who will chip in to both strategic and tactic planning and execution to continuously advance AI Platform's vision and mission.
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Master’s degree in data science, statistics, computer science, computer engineering, or information systems. Master’s degree in data science, statistics, computer science, computer engineering, or information systems and 5 years of relevant experience, or.
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We are seeking a skilled Data Scientist to join in supporting a prestigious government project. Five years of programming experience with data analysis software (e.g., R, Python, SAS, MATLAB.
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