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Experience in data governance fields as lineage, quality, catalog etc. You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Candidates with significant prior experience in both structural and functional neuroimaging data analysis (e.g., nipype, FSL, AFNI), statistical analysis using Python, R, Matlab and familiarity with high performance computing clusters (e.g., SLURM) are strongly encouraged to apply.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule.
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Electrical Project Manager - Data Center Construction - Atlanta GA. Experience managing Data Center Construction Projects as an Owner or as a General Contractor. Minimum of 5-10 years relevant experience in the Data Center Construction Industry.
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Switchgear, Power Generation, Utility infrastructure projects, Data Centers and Enclosures, and Controls & Automation familiarity or experience preferred. Today, IPS has the industry's largest network of remanufacturing locations, distribution centers, and field service offices across North America and the United Kingdom, serving over 30,000 customer locations across a wide range of end uses, including power generation, utilities, water and wastewater, petrochemicals, air separation, oil and gas, metals, mining, paper, aggregates, cement, hospitals, universities, commercial buildings, and data centers.
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Quantitative Analyst/Trader, Data Scientist, Quantitative Economist, etc). ● Degree qualified and Masters in Quantitative Finance, Data Science or related qualification● Some exposure to the design of both pricing and execution algorithms● Experience of handling and analysing large datasets, including price data● Experience in using one or more statistical programming / data management languages.
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These projects and activities span across Identity and Access Management, Governance Risk and Compliance, Security Architecture, Maritime Safety, Infrastructure Application and Data Security, and Threat Management.
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As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings. Being a domain expert on data modeling, data pipelines, data quality and data warehousing.
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Assist in receiving and staging, marshaling, and accounting for Cadets and cadre and their baggage; When necessary, assist in the synchronizing of ground transportation of Cadets and cadre between the airport and Fort Knox; Make data entries into software programs that are being used to support airport Cadet/cadre reception and departure operations Support operations, as required, including temporary, newly created, and/or geographically separate operations.
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Azure Data Services: Expertise in Azure Data Factory, Azure SQL Database, Azure Databricks, and Azure Data Lake Storage, Experience with big data technologies such as Hadoop, Spark, and Kafka, Azure Event Services.
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Conduct statistical analyses on various internal and external data sources with big data tools like Hadoop and Spark to identify interesting and valuable insights and trends, produce visualization and reports to internal business and product customers.
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Responsibilities: Bachelor's degree in Business Administration, Data Analysis, Digital Marketing, Music Business, or related field preferred. Proven experience in data analysis and interpretation within the music industry or related field.
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Designs are implemented using VHDL and support the following type of applications: gigabit serial interfaces, Radio Frequency (RF) and Electro-Optical (EO) Digital Signal Processing (DSP), control loops, data links, embedded processing, and processor interfaces.
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data job Title: product quality analyst Company: Grindwerk in Miami, FL
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