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We are looking for a Senior Data Engineer to help us continue to build the next evolution of our data platform in a scalable, performant, and customer-centric architecture. Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlowExperience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others.
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Job DescriptionSquare is looking for a Business Intelligence Analyst to join the Seller Customer Success Operations team to help build the strategy by providing data insights around customer satisfaction, team happiness, and operational efficiency.
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Technicians will learn and gain experience through assisting more experienced data center technicians in day to day operations of the data center including security functions, general site response and triage, and customer interaction.
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Roles include data entry clerk, customer service agent, nurse, or medical assistant - just choose what suits your skills best and start earning! This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks, typists, customer service reps, or drivers.
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What you'll be responsible for: As a Senior Site Reliability Engineer at Circle, you will design, build, and maintain Circle's infrastructure estate to meet the growing worldwide customer base on public cloud providers across multiple regions.
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The Principal Data Scientist role will closely work with cross-functional product teams and responsible for designing, developing, and deploying external customer focused Product focused AI (PAI) / data science solutions to extract valuable insights and intelligence from large and complex medical datasets.
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Experience with IOT, software-defined customer experiences, private equity backed companies. Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure.
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Utilize strong background in Data Loss Prevention (DLP), Cloud Access Security Brokers (CASB), Secure Access Service Edge (SASE), data protection products and practices and customer research and insights to represent the voice of the customer to the engineering team(s.
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The Principal Data Scientist, Digital Solutions reports to the Head of Technology, Digital Solutions. Experience with data visualization tools (e.g., Tableau, Power BI). Experience with healthcare data, including Electronic Health Records (EHR.
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I have experience in Master Data management and governance, maintaining a knowledge of product, material, customer, vendor domains. I am Techno-Functional in Master Data Governance and an expert in one of the Master Data domains – Product/Material, Business Partner, and Finance.
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As a core member of the Data Engineering department, you will be in a dynamic environment that works cross-functionally with all other departments, such as Engineering, Product, Customer Success, and Marketing.
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As a Data Scientist at Capital One, youll be part of a team thats 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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Continuous assuring of a high data quality by checking and validating it together with customer success team and data science/ technical consultant. The ability to deal with customers and handle customer situations will be key.
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Integrates domain knowledge into the ML solution, for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Previous work/project experience in machine learning, artificial intelligence, cognitive science, or data science.
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Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more.
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customer job Title: data in Chicago, IL
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