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Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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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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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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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EVERSANA Data & Analytics team applies advanced analytics and AI/machine learning techniques to the breadth of healthcare and non-healthcare data integrated with our deep clinical expertise to provide a unique and unmatched suite of services and products to the pharmaceutical and healthcare industries.
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Our tech stack spans several languages and frameworks, including but not limited to: Python, Go, Rust, React, running in Docker/Kubernetes on GCP. Relevant areas of expertise might include workflow engineering, tool integration, high performance cloud computing, systems engineering, and machine learning, but specific knowledge of any of these areas is less critical than versatility and a willingness to learn and work anywhere in the tech stack.
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Strong expertise in Predictive modeling, machine learning, data mining, forecasting, and predictive analytics. Reporting to the Vice President of Marketing Analytics & Modeling, this role will be responsible for executing on Dow Jones' next-gen approach to marketing data science, predictive modeling and technology, in support of our direct to consumer propositions.
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We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses and machine learning applications. Applied knowledge of advanced Machine Learning techniques including Ensemble methods, Deep Learning, Natural Language Processing, and Transformers/GenAI.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Excellent written and verbal communication and presentation skills, ability to communicate quantitative concepts to financial professionals Knowledge of prepayment modeling, MBS pricing and risks is a plus Knowledge and experience on data science and Machine Learning technics/languages is desired SEC Covered Clearing Agency Standards Additional Qualifications.
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The Department is home to research labs in AI, machine learning, computer vision, big data analytics, programming languages, cryptography, computer security, and software systems, and is the main constituent of the Stevens Institute for Artificial Intelligence (SIAI), an interdisciplinary research center that brings together over 100 faculty members across the University.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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Utilize advanced analytics, data science, and machine learning methodologies to improve DTC retention and consumption via enhanced customer targeting and message relevancy as well as improve forecasting accuracy for Nespresso DTC channels.
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Contribute to the growth of the Data Science team by sharing your ideas, intellectual property and learning from others. We employ scalable cutting-edge machine learning (Client), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize the content, and context needed to optimize their book-listening experience.
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Of machine/deep learning techniques and algorithms (XGBoost, random forests, logistic regression, SVM, KNN, k-means clustering, PCA, We are currently looking for a Senior Data Scientist to drive our data science and analytics group forward.
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data science machine learning jobs in New York
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