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Our Flagship Data Science team is seeking a Senior Staff Data Scientist to work alongside the newly formed Applied Science team focused on building inference, algorithms, and models to identify and quantify complex cause and effect in the ecosystem.
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Set the data science vision for RingCentral’s Data & Analytics organization and build the roadmap to drive business results. Evangelize the data science and research function within RingCentral and foster a strong data science community.
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Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. We're the TikTok Monetization Products data science team, who enables and champions data driven decision making.
$153,000 - $296,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience in data science, statistics, optimization, machine learning, and/or deep learning. Bachelor’s degree in computational and engineering sciences (e.g., computer science, computational biology, electrical engineering, biomedical engineering) or other related fields.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Apache Spark is a multi-language engine for data engineering, data science, and machine learning that lies at the core of our initiatives. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Job DescriptionSr Research Scientist I – Oncology Bioinformatics, Research Data ScienceWe are seeking a highly talented and motivated Senior Bioinformatics Scientist to take a lead role in statistical analysis of multi-omics and next generation sequencing data to support research projects from target evaluation to biomarker discovery with a focus in immune oncology and cancer biology.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apply the theories and methods of data science, computational biology, and statistics to the life science discipline to interpret results; offer suggestions regarding modifications to procedures and datasets in collaboration with senior researcher.
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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.
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In this role, you'll play a key part in Robinhood's forward trajectory, collaborating closely with our adept Data Science and Engineering teams. Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing.
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The Data Science/Applied Science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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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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Strong understanding of science and drug development, with specific expertise in nonclinical study design, preclinical CROs, data management systems, nonclinical study procedures, and statistical analysis methods.
$265,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago
data science jobs Title: consultant Company: Palo Alto Networks in Palo Alto, CA
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