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Teams include but are not limited to digital data and artificial intelligence, telematics gateway and datahub, DevOps and Cybersecurity. + Demonstrated experience with several of the following: Python, Java, SQL, Snowflake, AWS/Azure, Tableau, Power BI, Google Analytics, Machine Learning, Deep Learning, Salesforce, React, JavaScript, Node.js, HTML, UI Design, UX Research, writing API's for deployment, etc.
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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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We are passionate about incorporating the latest technologies in computer vision, image processing, computational photography, machine learning and artificial intelligence into todays most advanced products: smartphones, tablets, PCs, and greatly improve the consumer experiences.
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Architect and implement big data processing solutions leveraging Apache Spark for ETL, data transformation, and machine learning workflows. Expertise in Databricks, Apache Spark, and big data technologies.
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Demonstrates technical expertise on Artificial Intelligence, Data Science, and Machine Learning. This ideal candidate will play a pivotal role in designing, developing, and promoting AI services that address complex business challenges with our partners and should have a strong analytical mind to connect with vendors, partners, and customers to solve real problems with Artificial Intelligence and Machine Learning services.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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Program Human Machine Interface (HMI) applications (SEL Diagram Builder, Inkscape, Wonderware, etc.) Develop points lists for data transferred between RTUs, IEDs, and master station connections.
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You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. Experience working in vector databases like Milvus, Pinecone, or Weaviate Experience using machine learning in data pipelines to discover, classify, and clean data.
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Morgan Payments & Commerce Solutions business invests in future-growth initiatives, such as blockchain, artificial intelligence and machine learning, as well as partnerships with fintechs.
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Prefer candidates with experience with advanced analytics, machine learning, or artificial intelligence as applied to process automation. Learn and grow by working alongside some of the best Operations and Process Improvement experts in the business, as well as Point B Solutions experts in other areas such as change management, org design, technology, strategy, mergers & acquisitions, data & analytics, and others.
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We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. Experience working with recommendation engines, data pipelines, or distributed machine learning.
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Robotics Lab ( Duties & ResponsibilitiesDesign, implement, and/or evaluate a method to facilitate user-robot co-adaptation in a wearable robot using data-driven machine learning predictionMentor/supervise/assist research activities within the lab for graduate/undergraduate students regarding control, mechatronics design, data analysis, human subject experiment, experimental protocol design, result interpretation/presentations, and/or manuscript preparations.
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artificial machine jobs Title: data Company: Capital One in Chicago, IL
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