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Advanced proficiency in SQL, Python, statistical testing, and machine learning frameworks essential. Apply sophisticated data science techniques like segmentation, predictive analytics, and journey mapping to enhance understanding of fan behaviors.
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Act as a subject matter expert and trusted advisor in the statistical, optimization and/or machine learning modeling discipline. Experience in developing machine learning, optimization, and/or statistical models to solve real world problems.
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ESSENTIAL FUNCTIONSProvide business insights through comprehensive analysis, integrate diverse data sources, apply advanced quantitative methods for customer segmentation, maintain statistical models with open-source coding, and utilize statistical/machine learning techniques to extract trends.
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Parsons’ MS Data Visualization students bring together visual design, computer science, statistical analysis, and ethical considerations of data representation. We are particularly interested in candidates whose professional work and teaching prepare them to teach a core Machine Learning course, open to all graduate students, in which students will consider classification, regression, clustering, and association models to predict and describe, using supervised and unsupervised learning tools and methods, as well as other courses in Data Visualization.
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Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning. You’ll keep taking on new responsibilities as you grow—from defining core metrics to building machine learning models and keeping the data flowing in our pipelines.
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Design, build, and test quantitative models used across a broad range of areas including market risk, credit risk, pricing of complex financial instruments/derivatives, liquidity, capital, operational risk, as well as Artificial Intelligence/Machine Learning models used across a range of client-facing and business applications and processes.
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The total rewards package we provide reflects our commitment to our Humans’ personal career development, which includes annual stipends for wellbeing and learning & development, and a one time home office setup stipend.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Experience using statistical computer languages (R, Python, SLQ, etc.) - Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
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Expertise in some of these engineering approaches, with an interest to learn more of the following: machine learning, computer vision, geospatial analysis, remote sensing, image analysis, statistical analysis.
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PhD in Computer Science or a related field with published projects in the fields of machine learning, deep learning and/or computer vision. We are looking for a creative, skilled and motivated Research Scientist to join our machine perception team in advancing the state-of-the-art of human understanding, action recognition and statistical text decoding.
$208,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Design sophisticated statistical and machine learning solutions to support risk oversight, including but not limited to trend analysis, segmentation, decision tree classification, time series analysis, hypothesis testing, natural language processing, and anomaly detection.
$231,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Skilled with natural language processing, machine learning, statistical modeling, predictive modeling, and hypothesis testing. · Expert in statistical programming languages such as SAS and R.
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Proficiency in econometrics, numerical linear algebra, multivariate analysis, and statistical learning. Proficient in statistical computing, like R, Python, or SAS. Publicis Media harnesses the power of modern media through global agency brands CJ, Performics, Publicis Collective, Publicis Health Media, Spark Foundry, Starcom and Zenith.
$128,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
learning statistical jobs in Weehawken, NJ
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