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Channels include Facebook & Instagram (Meta), Twitter (X), TikTok, Snapchat, Reddit, Trade Desk, DV360, Amazon DSP, Google / YouTube, Search, and Publisher Direct. Strong understanding of Paid Social platforms, Programmatic, Display, Streaming Audio, Video + CTV/OTT, Paid Search, and each of their capabilities from a budget, strategy, targeting, and planning perspective.
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Position OverviewOur Client is in search of a Data Architect who exhibits deep technical expertise and proficiency in spearheading the design and execution of enduring data initiatives.
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This individual work closely with the Psychometrician/Statistician in data monitoring and management. Experience with statistical, qualitative analysis, and data visualization software packages (e.g., Alteryx, Dedoose, NVivo, SPSS, Tableau, etc.
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From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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Databases: Oracle, MS SQL Server, Azure PostgreSQL, Denodo - SQL: design and develop complex SQL queries, stored procedures, views, or to tune existing ones for optimal performance - Programming: Python, R - Azure Cloud - Azure Databricks - ETL Tools: Azure Data Factory, IBM DataStage etc.
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Provide hands-on support in Relativity, Brainspace and other litigation technology toolsets for a variety of requests, including: case creation; field and coding layout creation; strategic application of TAR and other analytics; advanced search design, implementation and validation; creation and support of document review and production workflows; privilege log design and management; complaint data and exhibit management.
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Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar. Responsibilities:The Data Engineering team is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.
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Professional Search Group is actively working with an dynamic international media & entertainment company that is looking for an Decision Science Product Engineer (Data Engineer) 3+ years of progressively complex experience in software or data engineering.
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The Director serves as the primary contact for CSUN Upward Bound and Talent Search projects with the United States Department of Education. Plan, implement, and monitor the Upward Bound and Talent Search academic year and summer components, which include, but are not limited to: Saturday Academies, a 6-week summer program, educational instruction, college tours, and recreational and cultural activities.
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The ideal candidate will have the right mix of hard and soft skills that allows them to technically mentor data scientists, while also effectively communicating the impact data science can have on Tinder.
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The Data Engineering team (within DDSI) is looking to fill a Senior Data Engineer role responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.
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ESSENTIAL DUTIES & RESPONSIBILITIESThe Regional Data Coordinator key areas of responsibility include:Key Areas of Responsibility:Serve as the primary data evaluator and needs identifier for their Service Planning Area (SPA.
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The IIT Management Supervisor will organize and coordinate the activities of individuals in the Clinical Investigations Support Office (CISO) and the Data Science Core (DSC); DSCi (Informatics) which programs the databases and makes sure that these data are securely stored in databases, and the Biostatistics which analyzes the data.
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Familiarity with a Modern Data Stack (I.e., ETL tools like dbt, Airflow, Fivetran, and cloud data warehouses like BigQuery, Snowflake, Azure, or Redshift). Reporting to the CFO, you will own the entire business intelligence function: you will be the expert on company data and use that knowledge to answer questions, provide insight, and improve the business.
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The TikTok U.S. Data Security Corporate Real Estate team currently supports a portfolio of 13 sites, across three countries, with many future project in the pipeline. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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