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Past experience with Data mining, data base, functional analysis, machine learning algorithm, dashboarding and data visualization is desirable." " Work hands-on with R&B Scientists & technicians in specific sites to upgrade current data operations and practices to build impactful ways of working.
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Deep expertise in statistical and machine learning methods for go-to-market attribution and hands-on experience with building end-to-end attribution systems that may include Marketing Mix Modeling (MMM) algorithmic multi-touch attribution (MTA.
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Python Development: Have a minimum of 3-5 years of hands-on experience in Python development, with a particular focus on data science, machine learning, and AI. Moreover, at least 4-8 years of experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in other Client algorithms and libraries.
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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.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Practical hands-on experience with developing predictive models using modern deep learning techniques (e.g., CNNs and transformers) and packages (e.g., PyTorch, TensorFlow, JAX). This is an exciting opportunity to join a growing group of computational scientists and machine learning researchers who are passionate about developing novel computational methods and ML models to address challenging problems from early discovery to late-stage development and across established (small molecule and antibody) and emerging (mRNA therapeutics and gene therapy) therapeutic modalities.
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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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Emerging ML is the data science and machine learning team inside Capital One's Applied Research organization. Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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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The Artificial General Intelligent team (AGI) seeks an Applied Scientist with a strong background in machine learning and production level software engineering to spearhead the advancement and deployment of cutting-edge ML systems.
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Use machine learning and AI techniques (e.g., predictive models, uplift models, personalization models, and NLP tools) to solve complex problems and drive business decisions. Minimum of 4-5 years of experience in data science, building hands-on ML models, measurement, marketing strategy, data analytics.
$6,000 - $8,000 a monthExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsibilities: Use machine learning and AI techniques (e.g., predictive models, uplift models, personalization models, and NLP tools) to solve complex problems and drive business decisions.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, RSS, etc.
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR.
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Hands-on experience with machine learning, deep learning, statistical modeling, causal inference, multivariate regression, and classification. Hands-on technical data analysis and machine learning modeling experience.
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In-depth understanding of Machine Learning and AI algorithms and model evaluation. FocusKPI is looking for a Data Scientist to work for our company’s internal projects. Build data pipeline for model development including gathering and building datasets, cleaning messy data, identifying assumptions, designing feedback loop on data needs.
ExpandApply NowActive JobUpdated 11 days ago
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