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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. The ideal candidate will have a solid understanding of Java and Python programming languages, along with experience working with Databricks for data engineering tasks.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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The Anti-Money Laundering Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, terrorist financing, and human trafficking through the use of machine learning, statistics, and other advanced analytic techniques.
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We’re seeking data scientist s who have domain knowledge or an interest in Big Data , machine learning, natural language processing, image processing and an interest to apply it to economic and financial applications.
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7 years of professional and/or academic experience working on complex data challenges in the areas of data architecture and engineering, data science, data analysis and visualization, machine learning, artificial intelligence, or related discipline.
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Duties include internal and external user management, incident response, org security, data integrity, data migration, change and release management, reporting, production support, and other duties.
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As a Data Scientist, you will provide support for the customer's machine learning model development and deployment efforts specific to its cyber focus and targets. As a Data Scientist, you will provide support for the customer's machine learning model development and deployment efforts specific to its cyber focus and targets.
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Build and maintain strategic partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, Natural Language Processing (NLP), machine learning and advanced data management technologies.
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Proficiency in data analysis tools (Python, R), machine learning frameworks (TensorFlow, PyTorch), and data visualization tools (Tableau, Power BI). As a Healthcare IT Data Scientist, you will play a vital role in leveraging data analytics and machine learning to drive actionable insights and innovations that enhance patient care, improve healthcare operations, and support strategic decision-making.
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Statistics, machine learning , data mining, data auditing, aggregation, reconciliation, and visualization. Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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5+ years of hands-on experience as a machine learning engineer or data scientist with at least 2 years focused on Natural Language Processing. 8+ years of hands-on experience as a machine learning engineer or data scientist.
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Cloud certifications such as AWS Certified SysOps Administrator Associate or AWS Certified Developer Associate, Microsoft Certified Azure Administrator Associate or CompTIA Cloud+ Relevant certifications in APM technologies or related areas are required such as Dynatrace Associate/Professional, AppDynamics Administrator/Professional, Splunk.
$128,480 - $192,720 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As an advanced data scientist or researcher on our health team, you’ll introduce innovative machine learning methodologies to make a real-world impact on identifying and assessing exposure or vulnerability to fraud, waste, and abuse in client programs, and providing support and assistance to state program integrity functions.
$110,100 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
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