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Design, execute, and interpret research pertaining to data analysis, machine learning, predictive modeling, statistics, visualization, and other data science techniques to build real-time classification algorithms from human movement data.
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Strong academic background in data science, statistics, and mathematics, with coursework or projects in machine learning, data analysis, and programming. Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions, while continuously learning and upskilling in data science techniques and technologies.
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Bachelor’s degree in in Computer Science, Data Engineering, Machine Learning, Statistics, Applied Mathematics, Economics, or a related field with focus on computer science, data science, or programming.
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Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Management Information Systems (MIS), etc. Eager to learn and develop skills in advanced analytics, artificial intelligence, and machine learning.
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Degree must have a quantitative focus (quantitative social science such as economics, computer science, physics, mathematics, engineering, statistics or related) The Data Scientist is responsible for assisting with analyzing the People's Republic of China (PRC)'s impact on development globally, a key and highly visible foreign policy issue within USAID. From day to day, you will work to translate large and complex datasets to produce insights and actionable recommendations to key stakeholders in USAID missions and leadership.
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Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry’s pricing strategy. Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science & machine learning team, and gain buy-in from executive leadership.
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Applies data mining, data modeling, statistics, graph algorithms and machine learning to extract and analyze information from large structured and unstructured datasets to support analytics objectives.
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You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics COE. Team members are skilled data scientists highly fluent in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics.
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Amazon Community Operations, is looking for a Sr. Manager, Business Intelligence who possesses a strong background in data (internal and external) extraction and summarization, visual analytics, predictive analytics, statistics/Machine Learning, automation, and developing business/customer insights.
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Menlo Park, California (hybrid role with 2 days a week onsite) or 100% remoteIn data science or related field, expertise in R or Python, understanding of statistics and machine learning techniques, experience in harmonizing data models and working with real-world healthcare dataResponsibilities: Develop standardized data models, link and process data, generate regulatory-grade RWE, collaborate with diverse teams.
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Requires a Master’s degree in Computer Science, Mathematics, Statistics, Engineering or related field, plus two (2) years of data science or related experience in data analysis including experience deploying ML (machine learning) models in different deployment architectures, databases, streaming and messaging queues; designing data labeling workflows with cloud-based tools in AWS or GCP; optimizing model performance; and conducting error analysis on baseline ML models.
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Ph. D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas. The Data and Machine Learning Innovation (DMLI) team is looking for a passionate Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Bachelor’s degree required in Data Science, Machine Learning, Computer Science, Mathematics or Statistics. 5+ Years of experience in modelling and solving large-size decision optimization problems using constraint programming, mixed integer programming, etc., and data science, machine learning, anomaly detection techniques.
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Degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field. Completed coursework related to Statistics, Computer Science, Machine Learning, and Data Science.
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