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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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Minimum 4 years’ experience as an analyst role with applied advanced analytics (e.g. statistical modeling, machine learning or other deep learning) OR advanced degree in data science, computer science, statistics, mathematics, or analytics related field.
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Years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM.
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Our Data, Science & Analytics team works across our big data cloud platform and data supply chain, using advanced analytics, machine learning, AI, and deep learning methods to make an impact across our entire data ecosystem.
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Production of campaign reports and analyses according to measurement plans Reporting could be executed through media platform APIs or through big data clean rooms, e.g., Google Ads Data Hub, Facebook Advanced Analytics, Amazon Marketing Cloud.
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Expertise in programming languages such as Python, R, Java, or Scala and familiarity with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch.
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You have experience in building systems that orchestrate and execute complex workflows in big-data leveraging Apache Spark, Apache Kafka, and Hadoop stack preferably in Google Cloud Platform.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud, databricks) is a plus. Proven experience (5+ years) in data science, machine learning, and statistical modeling.
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Plano 7 (31067), United States of America, Plano, TexasSenior Associate Data Scientist - Machine Learning, Financial ServicesAt Capital One, we think big and do big things.
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As a Data Scientist in the Garage, 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 large number of customer records to harness the power of AI in unlocking the big opportunities to improve customer experience.
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Bachelor's degree or equivalent work experience in Computer Science Engineering, Data Analytics, Informatics, Information Systems, or related quantitative field, Machine Learning, or related discipline.
$97,335 - $201,900 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies.
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At Vibrent, we work with the latest tools and technologies including enterprise mobile apps, fitness sensors, medical devices, cloud computing, machine learning, big data and analytics.
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These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning using state of the art software development applications and frameworks.
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