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We are looking for a Forensic Technologist to join our eDiscovery and Information Governance Legal Team. In your role as a Forensic Technology Lead, you will focus on discovery/disclosure efforts in the various phases of the EDRM model for litigation and regulatory matters, investigations, and all other matters requiring the identification, preservation, collection, processing, and production of data.
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Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. The successful candidate will gain an understanding of the data science techniques to power TikTok monetization and drive meaningful improvements in ads targeting and ranking models.
$153,000 - $296,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Lead the design and implementation of data analytics solutions, including data collection, data cleansing, data modeling, and data visualization. Strong proficiency in data analytics tools and technologies, such as programming languages (Python, R, SQL) and data visualization tools (Tableau, Power BI, Looker.
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Data modalities span technology-focused data (e.g., item location tracking through Bluetooth devices, actigraphy), questionnaire data, and biological data (e.g., biofluids, neuroimaging.
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2+ years of experience with Tableau or other data visualization tools (e.g. Power BI, Looker, Datapine, Kibana, etc. Take ownership of data analysis tasks pertaining to Video on Demand and Live Streaming products.
$86,555 - $177,777 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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SSIS; Data Architecture and Modeling; SQL Server; ADF; Power BI, Azure Databricks. Strong SQL Server, SSIS (or any ETL tool), Strong knowledge on DWH concepts, Azure is mandatory with average skill set (ADF, Databricks and Power BI.
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Create revenue projection data for management review. Direct experience with SAP IBP, Tableau, Confluence, MS Project, Salesforce, and Visio. Manage and maintain S&OP process through an integrated business planner solution (SAP IBP.
$108,000 - $162,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The successful candidate will will work in a dynamic multidisciplinary matrixed team environment to generate and interpret data from translational and clinical studies, and be expected to lead and support biomarker subteams for late-stage or early development programs.
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As the Data Scientist, you will lead a team of talented professionals to extract insights from large datasets, develop predictive models, and drive data-driven decision-making to optimize user engagement and retention.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working knowledge of lab automation, computer validation, data governance, data science, knowledge management and data protection. Oversee and advise data generation / data integrity and ensure compliance and analytical excellence from internal and outsourced testing at contract organizations.
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You know data structures, you know Python and (optionaly) Go. Our tech stack Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake TableOpen formats IceBerg, Avro, ParquetDataProc, Spark, Flink, PrestoPython, GOApache Kafka, Kubernetes, GitLabBigTable, Mongo, Redis.
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Skills in query optimization, managing notebooks, and effectively utilizing Databricks for data operations. Experience in spinning up new Databricks workspaces and migrating data from AWS S3 buckets.
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Build and maintain high performing ETL processes including data quality and testing aligned across technology, internal reporting and other functional teams. The ideal candidate will have a mix background with data engineering, data science, and machine learning engineer.
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Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python. Data Scientist Machine Learning - Sunnyvale, CA and Austin, TX.
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data job Title: technology lead in Palo Alto, CA
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