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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.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. You will play a key role in our Advanced Technology Group "ATG.
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The candidate will support Discovery Science efforts to enhance how we discover inhibitors of established and new drug target proteins, as well as contribute to our mission of providing high-quality experimental data for existing programs.
$53 an hourFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Independently conduct complex (lab and/or field) experiments to gather data for a portion of a major research project. Proficiency with basic molecular biology techniques, such as gel electrophoresis, PCR, and recombinant DNA techniques Experience with mammalian tissue culture techniques Meticulous record keeping and organizational skills Experience with high throughput sequencing methods and sample preparation, fluorescence microscopy, flow cytometry, lentivirus handling, and computer programming.
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Beam line control and data acquisition software such as EPICS, SPEC, or ICS. Hands-on with X-ray optics and opto-electro-mechanical systems. Position Overview:Stanford Synchrotron Radiation Lightsource (SSRL), a SLAC Directorate at Stanford University, is a national scientific user facility providing synchrotron radiation for research in biology, chemistry, engineering, environmental science, material science, medicine, and physics.
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Applying synthetic biology, genomics, bioinformatics, data science, and fermentation, we harness the most beneficial molecules from plants to create active pharmaceutical ingredients in more controlled and economical ways.
$285,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with BMIDE (Business Modeler Integrated Development Environment) and its utilization for configuring and customizing Teamcenter data models, data types, and data structures.
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You have experience with SQL and data visualization tools (Tableau, Qlik, Power BI, Looker, Domo, etc.) As a Business Intelligence Manager, you will own the delivery of actionable insights to inform data-driven decisions on sales & marketing strategy, and increase efficiency of our go-to-market operations.
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Conduct empirical research using methods from computer science, quantitative social science, statistics, econometrics, and other fields to understand user behavior and extract meaningful patterns from large data sets.
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Data Science | Machine Learning | Statistics | Mathematics | Health-tech | Electronics | Wellbeing | Applied Science | Generative AI | Artificial Intelligence | Multimodal | Speech | Audio | Text Extraction | Stakeholder Management | Technical Leadership | Natural Language Processing | NLP | Computational Linguistics.
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In forging an affordable, accessible, accurate representation of Earth, our work has the potential to transform the face of dozens of fields, including autonomy, telecommunications, disaster relief, gaming, climate science, defense and construction.
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Manage and optimize our data analytics infrastructure (Databricks and Snowflake), including monitoring, troubleshooting, and maintaining high availability. Bachelor’s degree in computer science, Cybersecurity, or a related field required.
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M.A./M.S or PhD in either Experimental Psychology, Design Research, Human Factors, Social Sciences, Human-Computer Interaction (HCI), Cognitive Science, etc), or other related fields or demonstrable equivalent practical experience.
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Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
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We want you to join us as a full-time Senior Data Engineer into our Data Pipeline team. 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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data science jobs Title: data engineer Company: Capital One in Stanford, CA
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