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You combine quantitative analysis & qualitative research (user research, competitive intelligence, market research, etc.) Our data science, cloud-native software, and passion for customer success deliver the highest ROI, fastest time to value, and highest customer satisfaction.
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Master's or Ph. D. in Statistics, Economics, or other quantitative social science. The Energy Services team at Cadmus provides advanced analytic and strategic consulting services to energy companies, utilities, governments, and non-profit organizations.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline. Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred. Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
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A degree in a quantitative field (economics, statistics, math, data science, etc) If you are a strategic problem solver, a compelling data storyteller, and a humble leader with a proven track record in using data science to drive organizational understanding and decision-making, we would love to hear from you.
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Create intuitive analytics insights, build data science solutions, provide business recommendations, and measure the impact. The successful candidate will be a seasoned people manager with a background in applied statistics, or a similar quantitative field.
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Degrees in a human behavior related field, such as Human-Computer Interaction, Psychology, Sociology, Communication, Information Science, Media Studies, Computer Science, or Economics. This job description represents different full-time roles across Meta. We use a variety of qualitative and quantitative methods to accomplish our goals, including surveys, focus groups, field studies, usability tests, and 1:1 interviews.
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Experience with either data science/machine learning/AI or quantitative finance methods to build probabilistic models that are used for derived business decision making, such as for front-office use cases in client analytics (sales, advisory, pricing) and investing (portfolio management), or for back-office use cases in financial crime (fraud pattern recognition) and risk modelling (credit risk, market risk, etc.
$175,000 - $263,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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8 years of experience in a predictive analytics or data analysis OR advanced degree (e.g., Masters, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 6 years of experience in predictive analytics or data analysis.
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An advanced degree in a quantitative field, such as statistics, econometrics, finance, mathematics, computer science, data science, engineering, business. Conduct quantitative and qualitative model validation in line with internal Model Risk Management Policy and industry standard to identify and report issues arising from model data, model design and model use, provide subject-matter expert opinion on model enhancement.
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Candidates must have completed a PhD within 3 years in a quantitative science, statistics, computer science, mathematics, engineering, or a related discipline. CFA Postdoctoral Fellow - Center for Pandemic Decision Science.
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