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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commesurat experience such at Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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Master's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
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Job Qualifications Required: BS in Data Science, Machine Learning, Computer Science, Computer Engineering, Electrical Engineering, Physics, Applied Mathematics, or in other quantitative disciplines.
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The employer will alternatively accept a Doctorate (Ph. D.) degree in Computer Science, Data Science, or related quantitative field of study plus 1 year of experience in the job offered or as Applied Artificial Intelligence Machine Learning Associate, Data Scientist, Software Engineer, or related occupation.
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Qualifications: PhD in computer science, applied mathematics, physics, computational biology or other quantitative disciplines. Contributions to research conferences or journals (e.g. NeurIPS, ICML, AAAI, ICLR) Expertise in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in the Python data science ecosystem.
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3+ years of experience in a Data Science role and a (BS/MS/PhD) in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Computer Science, or another strong quantitative field is required.
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Education Preferred A bachelor's degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included a minimum of 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis.
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PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field. Every Scientist on Target s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance and to elevate Target s culture and apply retail domain knowledge.
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Minimum education and experience required: Master's degree in Electrical Engineering, Computer Science, Physics, Mathematics, or related quantitative field of study plus 4 years of experience in the job offered or as Predictive Science, Applied AI/ML Lead, Applied AI/ML Research Associate, Sr. Software Engineer, Software Engineer, or related occupation.
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Masters degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics or equivalent experience. PhD degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
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Master’s degree in mathematics, operations research, applied statistics, data mining, data science or a related quantitative discipline Apply statistics, computer science, and business analytics skills to conduct studies and develop advanced analytical tools to aid in solving high-value business problems across AEP. Communicate effectively with stakeholders to identify risks/opportunities with data-driven insights.
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MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. ● Bachelor's Degree in a quantitative discipline: Computer science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc.
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This project is an international partnership with researchers at the Cornell Lab of Ornithology, Cornell University, and private industry, including the Nespresso AAA Sustainable Quality Program and ECOM. The postdoctoral associate will be advised by Dr. Courtney Davis, Applied Quantitative Ecologist and Research Associate in the Conservation Science Program in Center for Avian Population Studies.
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CGIR conducts applied cash-transfer studies and pilot designs in concert with community-based organizations and government stakeholders in order to add to the empirical scholarship on cash, economic mobility, poverty, and narrative change, and is committed to public science that challenges dominant narratives on poverty, deservedness, and economic mobility.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago
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