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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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This role combines the expertise of a data scientist with the responsibility of overseeing and optimizing our Enterprise Resource Planning (ERP) system in strong coordination with the Group IT. The ideal candidate will have a strong background in data science, statistical analysis, and machine learning, coupled with hands-on experience in managing business processes (Offer to Cash -OTC) within the ERP systems.
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Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services. Experience with deep learning, natural language processing, computer vision, or reinforcement learning.
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Hands on Experience with : R, Python, SQL, AWS (EMR, EC2, Redshift, Athena, S3, Sage Maker) Machine Learning and Deep Learning (Some or all): Deep neural networks(CNN, RNN, LSTM), Supervised methods such as Tree based models (random forest, xgboost, Light GBM), K-NN, SVM as well as Unsupervised methods such as Clustering (Hierarchical, K-mean, K-medoids), Dimensionality reduction (PCA.
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Looking for hands-on data scientist and strong Python coding skill is critical, much higher priority than NLP, IoT or Deep Learning. The newly hired Data Scientist will be a key interface with stakeholders in all Marketing functions, Business Technology, Sales and Sales Operations, and our shared machine learning teams throughout the organization.
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Have an excellent academic background with strong Hands-on Knowledge of Python OR Scala. Deploy and optimize machine learning solutions on massive datasets using big data technologies.
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The Associate Data Scientist role is a collaborative, hands-on position that leverages data science to optimize the delivery of key information to business stakeholders. As an Associate Data Scientist, you will play a key role in expanding our influence by building and implementing machine learning models and supporting their field execution.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Similar Jobs (13) Principal Data Scientist - Creditflow locations 2 Locations time type Full time posted on Posted 17 Days Ago Principal Associate, Data Science locations New York, NY time type Full time posted on Posted Yesterday Principal Data Scientist - Business Card & Payments locations 3 Locations time type Full time posted on Posted 30+ Days Ago.
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The Team: S&P is a leader in risk management solutions leveraging automation and AI/ML. 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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Hands-on experience with building Deep Learning applications. As an ML Applied Scientist on our team, you will engage with Business Teams: Collaborate closely with business teams to identify opportunities, gain a deep understanding of their requirements, and optimally translate these requirements into innovative technical solutions.
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You have experience with clustering, classification, sentiment analysis, time series, and deep learning. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.
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Excellent hands-on skills in cell and molecular biology techniques and assay development are required. 4+ years of hands-on experience with capsid discovery and engineering is required.
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Hands-on experience with Autonomous Systems, Big Data Analytics, AI, Machine Learning (ML), Data Visualization, and advanced statistical techniques is highly desired. The actual duty locations available may be located on the Air Force Civilian Service website.
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Hands-on experience with deep learning libraries (TensorFlow, PyTorch, etc.) Occasional extended periods of standing, bending, kneelingActive Secret clearance, with ability to obtain and maintain Special Program Access within a reasonable period of time, as determined by the company to meet its business needsPrincipal Data ScientistPreferred Qualifications:Bachelor's Degree in Mechanical or Aerospace Engineering/Computer ScienceTop Secret clearance preferredHands-on experience with core Python data science tools (Numpy, Pandas, Matplotlib, SciKit-Learn, etc.
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Hands-on experience in developing models, in optimizing model training and tuning and in deploying LLMs such as GPT, LLaMA, Falcon, BERT, or Transformer-based architectures. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience.
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