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AWS Graviton powered instances provide the best price performance and support a wide range of computing workloads including application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches.
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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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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. At least 1 year of experience in open source programming languages for large scale data analysis.
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Proven track record of leveraging open-source capabilities such as Apache Spark, Apache Kafka or other streaming/messaging platforms. 10+ years of working experience in data engineering / data transformation / big data and solution architecture / other related.
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At least 2 years experience in open source programming languages for large scale data analysis. Youre comfortable with open-source languages and are passionate about developing further.
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You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and test & development workloads.
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You have experience with clustering, classification, sentiment analysis, time series, and deep learning. Our areas of research include reinforcement learning, recommender systems, causal inference, and deep learning with a focus on transformers.
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Experience with additional programming languages or big data tools Contributions to data science research or open-source projects VES provides our government and commercial clients with a range of professional and innovation services including: technology innovation acceleration, business consulting services, professional engineering and program oversight, and program and budget support.
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The Leidos has an exciting opening for you, as a Cloud Engineer, to play a critical role with design, engineering, development, deployment, and use of software for the DOMEX Technology Platform (DTP) where we support our client's mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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Experience leveraging open-source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform analyses. - High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms.
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Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, Spark/Scala) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work.
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You’re comfortable with open-source and are passionate about developing further. Team Description The Compliance Risk Management Analytics and Innovation team builds the machine learning models that contribute to the organization’s regulatory compliance and risk management program.
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Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting.
$132,000 - $212,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Team Description 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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Big data” doesn’t faze you. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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