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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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Establish data quality standards aligning to ServiceNow CMDB health metrics and CSDM. Partner with IT Asset Management teams and IT Product Owners to align discovery trend data with asset lifecycle management data requirements.
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At least two (2) years of experience with Databricks- Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS- Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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Data Curator and Document Management SpecialistOur Nuclear Power Division is looking for a Document Management Specialist to join their team! Responsibilities will include data entry, curating and data management of information systems derived from Nuclear Regulatory Commission publicly available information.
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Technical Proficiency: Expertise in web and data technologies such as Kafka, HDFS, Spark, EMR, Open Table Formats, Snowflake, Hive, HBase, Scylla, Django, and FastAPI.Cloud Expertise: Proficient in designing, deploying, and managing systems on AWS.Full Lifecycle Exposure: Experience with the complete software development lifecycle, from inception to production and monitoring.
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Knowing, understanding, and implementing all Positive Behavior Support Plans and other specific positive behavior supports including applying the principles of OIS. Documentation Including T-logs, individual/house, behavior data, sleep data, etc.
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Nice to Have: Worked with real time big data pipelines using distributed data processing systems using Apache Spark/AWS Glue/BeamWorked with containerization using docker and kubernetes.
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As a Business Intelligence Engineer within Region Delivery Analytics team, you will be responsible to build data visualizations consumed by Infrastructure Delivery leadership using all development tools available, including Python, R, Apex and Oracle Analytics Cloud/OBIEE. The role also requires prowess in SQL and SQL Developer to build reportable datasets.
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Understanding of architecture patterns, principles, and best practices for Microservices/API, Streaming/Eventing, Integration, High Availability, Cloud, Security, Devops and Data Experience in deploying and supporting web, containerized, and serverless infrastructures.
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Experience in Advanced Geophysical Classification (AGC) data acquisition and familiarity with data processing software (, Oasis Montaj) a plus. Field data acquisition utilizing various geophysical sensors including Metal-Mapper, APEX, UltraTEM, EM61, GPR and Magnetometers.
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To support compliance with federal and state regulations and Thrasio internal policies, the Senior Benefits & Leave Specialist audits employee data and performs reporting. Support external relationships with vendors for employment verification, and local/state unemployment bureau(s); conduct audits of HRIS, payroll, and benefits data, updating information or recommending corrective action to Benefits or Finance functions when necessary.
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Expertise in BI, Analytics and Data management space and experience with vendors like AWS, Google Cloud, Snowflake, Databricks, Power BI, Tableau, etc. We enable the Office of the CFO to connect to and make sense of their data in real time so they can proactively drive greater financial intelligence across their organization.
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Extensive experience in Data Governance, Data Modeling, Data Security, Data Strategy, Data Integration, and Master Data Management (MDM). Key Responsibilities:Act as a strategic advisor to clients, driving the formulation of Enterprise Data roadmaps by identifying current setup gaps and charting a path forward.
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Analyze LIS data to confirm customer volumes, test menus and validation of project implementation and cost savings results. Collect and analyze before and after data points to ensure cost savings goals are met and customer sign-off in a timely manner.
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data job Title: customer service in Rickreall, OR
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