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Strong hands-on experience with Python and Jupiter Notebooks, building NLU/NLP machine learning models. Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
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Familiarity with big data platforms (like Spark, Databricks), machine learning frameworks (like Tensorflow, Keras, MXNet or PyTorch) and libraries (like scikit-learn, numpy, pandas, and scikit-learn) and ability to learn new technologies quickly.
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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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Proficient in cloud technologies (Databricks, AWS, GCP), with hands-on experience in creating Machine Learning Pipelines. Machine Learning Scientist III (NLP.
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You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing. Experience in delivered librariesA professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
$195,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. The Card Fraud Data Science team builds the machine learning models that help protect our customers and Capital One against fraudsters.
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The ML Scientist will work on solving real world business problems through machine learning and computer vision. Hands on experience in industry experience implementing end-to-end machine learning projects.
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Hands on experience on designing and developing Data pipelines for Data ingestion or Transformation using Python (Pyspark)/Spark SQL, Impala. Experience with traditional and advanced machine learning techniques and algorithms, such as Logistic Regression, Gradient Boosting, Random Forests, etc.
$117,440 - $176,160 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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2+ years of industry experience in Data Science/Machine Learning as a data scientist/technical lead developing ML models with a business impact, along with 5+ years of hands-on, industry experience with data & languages such as e.g., SQL, Python, R, SAS. What you should expect in this role This position is primarily remote, travel once per month to Columbus, OH may be required.
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Our current focus is on developing cutting-edge bioinformatics and machine learning algorithms to enable the discovery of novel biomarkers and translate them into clinical diagnostic applications.
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Our cloud-based Machinify AI platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems, transforming healthcare administration and payment operations.
$170,000 - $250,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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At least 4 years of hands-on experience in several of the following areas: machine learning, statistics, optimization, regression modelling, deep learning, generative AI, causal inference, experimentation.
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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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You will join a team of 3-5 developers to implement and test solutions in the areas of networking and machine learning for mixed wireless and wired networks, with the goal of CI/CD (continuous integration/continuous development), integration and testing, and with time you will take on lead roles and interface with customers.
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1+ year(s) of hands-on experience in data analysis, machine learning, and deep learning frameworks. We are seeking a candidate with a keen sense of natural curiosity who will play a crucial role in enhancing clinical care delivery and driving innovation through the application of machine learning and data science.
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