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The Specialist will be responsible for 4 main workstreams: analyzing legal data & reporting on legal metrics, including reports from data that will be used for board and committee reporting, providing litigation and IP dispute resolution support, supporting eDiscovery activities, and supporting and enhancing the data privacy review process.
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As a data analyst, your role is to identify corner cases in autonomous driving functionality that may affect safety or comfort by analyzing massive dataset collected from the field; resolve corner cases with creative methods by leveraging in-house toolchains and work closely with Machine Learning Engineers and Annotation Team to apply principals of data-centric AI to resolve real-world problems.
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Our Business Analyst will partner with our Business Development, Compliance and Analytics teams to help drive data governance. Further data deliverables through the optimization of data quality, performing data analysis and data mining in large SQL databases, and applying predictive modeling theories to recommend solutions to complex business problems.
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The Data Scientist will conduct artificial intelligence and machine learning (AI/ML) research and development for a portfolio of NASA applications with focus on aeronautics projects such as Air Traffic Management, Aviation Safety, Sustainable Aviation, and/or Advanced Air Mobility.
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The work of the Investigations and Insights team is critical to TikTok user safety, and the lead Threat Data Analyst will have the opportunity to identify and mitigate the most harmful threats targeting the platform and our users.
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As an Escalation Data Analyst, you will be at the forefront of analyzing both quantitative and qualitative data, generating insightful judgments, and crafting impactful products for internal cross-functional partners.
$106,400 - $177,777 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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5-7 years' experience as a Data Analyst or in a similar role working directly with clinical healthcare data (e.g., medical claims, pharmacy claims, population-health data, EMR etc.
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Minimum of 7 years experience as a Product Manager, or Engineering Manager, or Engineer in an autonomous systems, robotics, data science, machine learning, computer vision, or software development environment.
$181,000 - $290,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Intuit is hiring a Principal Data Science Architect to join our Intuit AI team. 3+ years as either a lead in a data science role or a management position in data science. Come join our collaborative and creative group of data scientists and machine learning engineers and design and build AI systems that directly affect hundreds of thousands of our customers.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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It aims to provide advanced middleware and tools for Web2 businesses connecting to Web3 token incentives with real-world activity confirmed by user-owned smart devices, unlocking new business opportunities through its Proof-of-Anything technology, which can be used with several data sets, such as in location, activity, and humanity.
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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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Glean is building a world-class Data Organization composed of data science, applied science, data engineering and business intelligence groups. You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT.
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Focus is on start-ups in high-growth sectors such as Artificial Intelligence, IoT, Robotics, Data Storage, Semiconductors, Fintech, Cybersecurity, Foodtech, Enterprise Software, and Deep Tech. PRINCIPAL DUTIES: Market Research Performs market research to help identify new investment trends and opportunities in the venture capital sector in US. Performs mapping of startup activity, competitive landscapes and market trends in specified industry subsectors.
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Title: data analyst Company: Conexess Group in Mountain View, CA
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