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Expert knowledge of at least one data science programming language (e.g. Python, R, Julia, etc.) and relevant data science and visualization libraries (scikit-learn, pandas, ggplot, etc.
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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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Expert in Cloud & Data Technology and the market trends within GCP, Azure, AWS, Data Bricks & Snowflake ecosystems. Skills Needed: Blend Between Technology Consulting & Engagement Management Within Data Solutions Ideally someone who comes from consulting background, no specific industry needed Someone not far removed from Modernized Data Environments & Tech This person is Not an Architect, Engineer or Delivery Manager, but most likely used to be pre leadership Not looking for an Account Manager, Business Development Director or Project Manager 15+ Years Of Exp Min.
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Experience working with SQL or Python Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin.
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Experience working with data and/or analytics engineering teams and a basic understanding of data systems (e.g. data warehouses, ETL/ELT, Airflow and orchestration, DBT, Spark) Use aggregate SQL to QA test accuracy of data sets and models, and articulate how to use data sets most effectively in BI tools like Looker.
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The Data QA (short for Quality Assurance) Analyst is responsible for ensuring the accuracy, integrity, and quality of our organization’s marketing data assets. Expert experience with data visualization tools like DOMO , Tableau, preferred.
$72,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The department of Computer Science at California State University, Northridge (CSUN) is seeking a tenure-track faculty member at the rank of assistant professor, with a specialization in data science.
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Our Game Studio is seeking a talented Senior Data Analyst to join our dynamic team. 2-5+ years of experience as a data analyst or related field, preferably in live-service gaming.
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We are seeking a passionate and motivated Staff Data Scientist to join Tinder’s Sophisticated Analytics & Engineering team. 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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Implement the finalized data requirements as eCRFs into the database, including overseeing implementation of technical components requiring application programmer analyst involvement, and development of standardized summary reports for each study.
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The People Analytics Manager provides critical data interpretation and insights to support HR strategy needs. The People Analytics Manager is responsible for the transformation of the HR reporting, metrics, governance, analytics, and data integrity efforts, leveraging various data analytics platforms to present data accurately and intuitively.
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8+ years of hands-on privacy and/or data security experience at a top law firm and/or as in-house counsel. Provide support in connection with policy, government relations, legislation, and litigation related to privacy and data security.
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We are looking for a Chief Information Security Officer (CISO) who will be responsible for providing executive leadership managing data and information risks related to product development, technology solutions, crisis management, governance risk, compliance and data privacy.
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Hands on Data Engineering Director / Analytics / Onsite in Los Angeles / Relocation package. This person ideally has experience in the gaming industry and has a very high level understanding of segmenting game data and user data.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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data job Title: data analyst Company: Latest Jobs Today in Los Angeles, CA
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