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Expertise in data analysis tools and techniques, including SQL, Python, R, and data visualization tools such as Tableau or Power BI. Utilize advanced analytics techniques, including predictive modeling, data mining, and machine learning, to uncover trends and inform strategies.
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Leverage a broad stack of technologies - Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more - to reveal the insights hidden within huge volumes of numeric and textual data. 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.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Programming Languages: Python, JavaScript, Spark Data exploration tools: Grafana, Jupyter Notebooks, Metabase, Quicksight, PowerBI, or similar Relational and non-relational databases, data lakes: MongoDB, Snowflake / Redshift.
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Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing.
$55,000 - $136,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software. - Experience with data visualization using Tableau, Quicksight, or similar tools. - 3+ years of quantitative and qualitative data science/business intelligence with significant business impact experience.
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Perform data analysis, validation, cleansing, and manipulation using SQL, Python, or other tools. Working proficiency level in programming languages: SQL, Python, and/or R, and visualization tools: Tableau and/or Power BI.
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Experience with common Python data science packages (NumPy, Pandas, etc) Our growing team of 15+ quant investors, machine learning researchers, and software engineers comes from top universities and financial institutions such as Goldman Sachs and Bridgewater Associates.
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Experience with a range of machine learning related frameworks and libraries, such as Python scikit-learn, Pandas, StatsModels, Pandas, Keras, TensorFlow. 8+ years of experience in end-to-end statistical analysis, data science, and machine learning lifecycles at an enterprise level.
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Advanced programming skills in modern languages including Python, R, C#, Java, Scala and Go (Python required) Extensive experience with different Data Science methods such as clustering, classification, regression, time series, & optimization.
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Strong knowledge and experience using the following software and tools, required: SQL/NoSQL, Python, R, Spark, Git, data pipeline tools (e.g., Airflow), cloud infrastructure (Microsoft Azure preferred.
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Proficiency in developing machine learning models from scratch using Python, along with expertise in key libraries and frameworks such as TensorFlow and PyTorch. Mentor and support the growth of junior Data Scientists/Analysts, fostering a culture of continuous learning and professional development.
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The ideal candidate will have a strong background in Python, computer vision, and deep learning, with experience in deploying models on edge/on-premises environments. Work with large data sets to train and optimize deep learning models.
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Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration.
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Strong knowledge of R or Python for data analysis and modeling. Familiarity with R or Python for predictive modeling. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks.
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data learning python jobs in Bayside, NY
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