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2-5+ years of experience in wide range of statistical and machine-learning techniques (e.g. time series analysis, NLP, deep learning and etc.) 2-5+ years of hands-on Python, SQL, Typescript/Javascript and Linux development experience.
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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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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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Relevant ExperienceExtensive experience with, both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/DatabricksStrong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniquesDeep understanding of artificial intelligence concepts, experience with AI frameworks and libraries such as TensorFlow or PyTorch is also valuable.
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Identifying use cases and developing requirements for solutions leveraging Artificial Intelligence and Machine Learning techniques to advance the Data Strategy and optimize Data Management.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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You have experience working with Machine Learning teams and a strong understanding of ML workflows at scale You have proven experience as a Data Scientist using experimentation methods and advanced statistical modeling to drive product development.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Collaborate with data science and data engineering team to build scalable and reproducible machine learning pipelines for training and inference. Solid understanding of machine learning life cycle, data mining, and ETL techniques.
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As a Director, Data Scientist on/in the US Businesses Long Term Care Data Science Team you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other professionals to build models to determine Long Term Care Estimates.
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DATA STRUCTURES AND ALGORITHMS In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product. The team also owns our Streaming Platform that is build using FlinkAs a staff engineer, you will partner with your team and partner teams like machine learning, and Ads to create and improve scalable, fault tolerant, self-serve systems.
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Uphold adherence to data privacy and security regulations across all data science and machine learning endeavors. Advanced degree in Data Science, Machine Learning, or related field.
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Experience using computer languages (Python, SQL) to manipulate data and draw insights from large data sets, including cloud-based Snowflake, AWS SageMaker, Azure AI Services and MS Power AppsKnowledge of machine learning techniques (clustering, decision trees, neural networks, graph ML, OCR, sentiment analysis, etc.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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machine learning python jobs Title: data in Jersey City, NJ
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