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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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As a Senior Data Scientist you will partner with our Growth Marketing and Product teams to integrate data science solutions into the overall subscriber growth strategy. Experience with data pipeline development tools in a modern data stack such as dbt, Databricks, Redshift, BigQuery, and Airflow.
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The Data Scientist Intern delivers analytical solutions using programming, data-mining, statistics, machine learning, and visualization techniques. Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
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As an Analyst on the Data Services team at UCLA, you will be part of our Advancement Services department. Work on initiatives to enhance data management and maintain the donor database. Minimum of 2 years experience in data management, governance, processing, review, reporting, and quality assurance.
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Looking for 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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Work with volunteer management team to collect volunteer data. Develop applications with graphical user interfaces (GUI) to facilitate user interaction and data visualization. : Data Analyst and Application Developer.
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High familiarity with data platforms and applications such as: Databricks, Jupyter, Snowflake, Redshift, Airflow. Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.
$102,500 - $137,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proven experience as a Product Manager or similar role in the media entertainment industry with Film or TV data. Experience with cloud data environments (GCP - Google Cloud Platform, Big Query, Snowflake, or AWS.
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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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Build the batch and streaming data pipelines critical to Ramp’s daily operations using Airflow, Snowflake, ClickHouse, Kafka, and other data processing technologies. The Data Platform team develops and owns the systems that enable Ramp's reporting and strategic decision-making and integrate machine learning models into our operational systems and the product itself.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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Lead the study start-up process, including, but not limited to, the Trial Kick-off meeting, the set-up of the trial master file (TMF), the set-up of the electronic data capturing (EDC) system, site selection, and the finalization of site Clinical Trial Agreements and budgets.
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Manage data transitions and platform migrations between SAP HANA/DataBricks, Tableau/PowerBI, and related ETL processes. Proficient in data platforms/systems (such as SQL, Databricks), ETL tools (such as Python, SnapLogic), process automation, and standardization.
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NET, Python And Minimum of 4+ years' experience with databases and data modeling / design (SQL and NoSQL) And Minimum of 3+ years coordinating team efforts in a project or operations environment Minimum of 2 years in full stack development for cloud solutions (Azure or AWS) - Azure preferred 8+ years of experience in JavaScript development frameworks and tooling: Angular, React, VueJS, & Gulp, Grunt, Yarn, etc.
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Prior experience in the streaming media industry or knowledge of data and Video on Demand (VOD) and subscription-based services (SVOD) is preferred. Strong experience in detailing the data requirements, data strategy, data rules (standardization, cleanse, and validation.
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data job Title: data scientist Company: Federal Bureau Of Investigation Fbi in West Hollywood, CA
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