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Computer Science, Engineering, Statistics, Neuroscience, or Economics degree desired. At least 6 months experience with MRI or PET neuroimaging, either in running the scanner or in analyzing data.
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Strong style, merchandising and wardrobing skillsAt J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth.
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Data engineering, database engineering, business intelligence, or business analytics, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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5 years of experience in User Experience Design, HCI, Interaction, data visualization, or in a similar industry. Bachelor's degree in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, related field, or equivalent practical experience.
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This is an opportunity to work on the most challenging data science problems, build large scale distributed machine learning systems from the ground up, and use cutting edge technologies like Spark, Kafka, and Tensorflow.
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As a business system analyst (BSA) master data management (MDM) & data quality management (DQM) focused on end-to-end finance processes, you will play a critical role in enabling data architecture and governance to help drive standardized and sustainable enterprise data footprint.
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Join a highly skilled data science team to solve challenging problems and deliver scalable solutions in game development, publishing, and live-ops. Experience in one or more of the following areas: machine learning, statistics, deep learning, reinforcement learning, experimentation, NLP, computer vision, recommendation system, and other data science domains.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. About The Tiktok Monetization Product Data Science TeamWe're the TikTok Monetization Products data science team, who enables and champions data driven decision making.
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Partner with product, CRM, and Data Science teams to integrate new data sources and metrics into Growth marketing reporting. Analyze paid media, social, and campaign performance data using tools such as Snowflake, Looker, and Superset.
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By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles.
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Derive novel and innovative data science, and statistical modeling solutions for applications within autonomous driving. Creativity and adaptability regarding data science approaches that provide safety case argumentation for an Autonomous Vehicle.
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Demonstrated experience in data modeling and transformation pipeline design and experience building for data science and analytics partner needs. Practical hands on experience with:building large-scale, high complexity metrics and monitoring ELK, DBT, Snowflake, AWS, Terraform, Looker, Ansible experience Experience building and maintaining robust and efficient backend data systems with functional proficiency with AWS cloud services & modern data warehouse services (Snowflake.
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The core focus areas for the Satellite Software Team include mission software (radar data collection, storage, processing, and downlink), radio communications, satellite/flight control, telemetry, and embedded firmware.
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PhD. in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, health or biological sciences. Demonstrable knowledge and experience in Image Processing, Machine Learning, Signal Processing, and their applications on mobile sensor data collected in the lab and in the wild.
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science data jobs in Mountain View, CA
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