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Required qualifications, capabilities, and skills: Master's Degree with 5+ years or Doctorate (PhD) with 3+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
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Use Deep Learning models like CNN, RNN and NLP (BERT) for solving various business use cases like name entity resolution, forecasting and anomaly detection. Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning.
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As a VP Data Scientist, you will apply your strong knowledge of ML, NLP, Deep Learning, Knowledge Graphs and experience working with massive amounts of data. Strong hands-on experience of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
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Researches and identifies Artificial Intelligence (AI), Large Language Models (LLMs) and Machine Learning (ML) methods and algorithms to solve specific problems within Risk Intelligence. Our engineers use Machine Learning to solve problems along the entire Lifecycle of Innovation, with a strong focus on new capabilities and approaches to existing problems.
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Total 7+ years of hands-on experience with advanced machine learning, data mining, statistical inference, mathematical modeling and deep learning techniques. 3+ yrs of experience working as a Machine Learning Engineer and has implemented and deployed at least.
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Must need : Databricks Certified Data Scientist or Databricks Experience. 2 large projects related to Client & Natural language processing (NLP). Broad knowledge of existing data mining, NLP algorithms and technologies (Client & DL), working knowledge of related frameworks and technologies.
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Expertise in Statistics, Machine Learning, Deep Learning, NLP, and Computer Vision (optional). You will work closely with product stakeholders to develop "intelligent" features and deliver outstanding business outcomes leveraging Machine Learning, Deep Learning, NLP and CV.
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Master’s Degree with 5 plus years or Doctorate (PhD) with 3 plus years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
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As a dedicated Data Scientist I, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction.
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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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3+ years of direct experience in Machine Learning, Computer Vision, Signal Processing, or Natural Language Processing (NLP) Use statistical and machine learning techniques to create scalable solutions for vehicle telemetry data and video analysis, and perform R&D to drive discovery of new generation mobility products.
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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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Build machine learning and NLP models through all phases of development, from design through training, evaluation, validation, and implementation. At least 2 years' experience with machine learning with a focus on natural language processing.
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Excellent understanding of Data Science Theory, LLMs, ML, NLP, and statistical methodologies in a data analytics environment. We're looking for a Data Scientist who is ready to dive into the dynamic fields of digital identity, and fraud.
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Minimum 5 years of industry experience with 5 years of proven track record in the application of AI, ML, and NLP. Experience with search engines, web scraping, data classification algorithms, recommendation systems, and relevance evaluation methodologies.
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