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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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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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The role will require the ability to flex between technical engineering of the platform and hands on working knowledge creating data science applications as a user of the platform.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Business Card & Payments Data Science team builds industry leading machine learning models to empower credit underwriting decisionings, supports advancement in Capital One business card product strategies, decisioning and credit infrastructures.
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With strong background in designing and building machine learning models / algorithms to implement predictive & prescriptive analytical solutions in areas such as customer loyalty, personalization and recommendations, customer segmentation and profiling, Sales Calls, E-mail and Direct mail targeting, retention analysis, churn assessment etc.
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Hands-on experience with natural language processing techniques including Sentiment analysis, Word embeddings. Knowledge of machine-learning techniques, classifiers and statistical methods.
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Experience with clinical, and/or next-generation sequencing (NGS) and/or multimodal real-world data (RWD) is required; hands-on experience (data organization, utilization and/or analytics) in clinical oncology data (EMR, oncology clinical trial dataset, and/or cancer registry dataset, etc.
$160,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Capital team is looking for a hands-on Senior Data Scientist II to undertake multiple advanced analytics initiatives like Forecasting, Predictions etc that will enable us deliver Operational Excellence and provide actionable insights to business users.
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Machine Learning (Classification, Regression algorithms. Deep Learning (Neural Networks, Transformers) Advanced degree, or equivalent experience, in mathematics, data science or other quantitative discipline.
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5+ years hands-on experience in designing and implementing AWS Data Science and Machine Learning solutions. · Demonstrate deep expertise in AWS services, with a focus on SageMaker, and other relevant data science and machine learning services such as Kendra, Textract, Comprehend.
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This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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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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Deep hands-on experience in machine learning, relational databases, and open source programming languages (Python, R) for large scale data analysis. Strong knowledge of data science technologies and machine learning concepts and have experience developing models from research, to a proof of concept, to a production pipeline.
$140,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence technologies, and evaluate their potential impact on our business and industry.
$285,000 - $315,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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5+ years of hands on experience in Data Science focused positions building machine learning and statistical models (regression analysis, cluster analysis, optimization, CLV, etc.
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science machine learning hands on jobs Title: science in Manhattan, NY
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