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Working knowledge appropriate analytic methods and methodological tools in one or more of the following areas: Applied mathematics ( e.g. probability and statistics, formal modeling, computational social sciences) Computer programming ( e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing) Visualization ( e.g. GIS/geospatial analysis, telemetry analysis.
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Ph. D. in Computational Physics, Applied Physics, Applied Mathematics, Computer Science, Biological Science (e.g. Cell Biology, Biophysics, Bioengineering), or related science or engineering field; OR equivalent combination of degree and experience.
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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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RequirementsPhD or Masters's Degree in Computer Science, Mathematics, or Statistics a similar technical field of study with a specialisation in Machine Learning, Data mining, Information Retrieval or Data science.
$260,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree 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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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This isn't analyst work; you'll be leveraging data science methods, including AI and machine learning in an incredibly dynamic and engaging environment. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Preference for at least one of:Master's in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical fieldProgress towards relevant professional credentials (e.g. FCAS, FSA, CSPA.
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MSc or a Ph. D. degree in applied mathematics, computer science, physics, or a related discipline, or equivalent professional experience, At QuEra, you will focus on using our near-term quantum hardware to develop quantum solutions across fields ranging from machine learning, operations research, data science, chemistry, and more.
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Machine Learning, Data Science or related discipline, e.g. Computer Science, Applied Mathematics, Statistics, Physics, Artificial Intelligence. As part of Trust & Safety within the Payments Organization, you will be involved in developing machine learning models that facilitate safe & secure SMB payments by detecting and mitigating Fraud Risk. You will experiment with various relevant Al & ML algorithms and techniques to build best-in-class solutions as part of the organization that oversees several trillion dollars of Wire/ACH transactions and.
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An MS or PhD degree in an analytical field such as: Statistics, Physics, Computer Science, Applied Mathematics etc. The Adobe Experience Platform (AEP) Architecture team is looking for a Principal Scientist, Machine Learning to help us both architect and build new intelligent features for our platform.
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Master’s degree in an analytical field such as Data Science, Computer Science, Applied Mathematics, Operations Research or Economics. We believe analytics will be a game-changer in the industries we operate in, and we are seeking a Data Scientist to help build and scale our data science and software engineering capabilities.
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Bachelor’s degree (an advanced degree is a plus) in an applied quantitative field (mathematics, physics, computer science, engineering, or statistics) Applying rigorous machine learning, statistical analysis, regression, and optimization techniques to data to identify signals and predictive patterns.
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What you’ll need to be successful: Bachelor’s degree in computer science, computer engineering, electrical engineering, statistics, applied mathematics, or other related fields 3+ years of data science experience working in applied machine learning.
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MS or PhD in Computer Science, Engineering, Sciences, Applied Mathematics, or a related field. Research and develop novel statistical approaches and machine learning/deep learning models that add value to manufacturing processes and product performance improvement.
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Requirements Basic Qualifications Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with 13+ years of experience Bachelor degree in Statistics, Applied Mathematics, Computer Science, or Information Science Minimum 8 Year (s) of Data Scientist experience Experience with IBM AI Fairness 360 (AIF360) – preference; Machine Learning (ML); Natural Language Processing (NLP); spaCy and NLTK, as well as language models like BERT and RoBERTa, are desired.
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