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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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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.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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B.E./ B. Tech / M. Tech/ MCA (Computer Science/Electronics & Communication/Electrical), a master's in computer science, artificial intelligence, or a related field, or a specialization in natural language processing is preferred.
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Bachelor's degree in a relevant field (e.g., Statistics, Data Science, Economics, Computer Science)Strong proficiency in data visualization tools (e.g., Tableau, Power BI) and data analysis tools (e.g., Python, R)Excellent SQL skills for data extraction and manipulationStrong analytical and problem-solving skillsStrong technical skills to automate data pipelines for building dashboardsAbility to work effectively in a cross-functional team environment.
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Bachelor’s degree required, preferably BS/BA degree Statistics, Applied Econometrics, Math, Analytics, Computer Science, other related Core Sciences or equivalent. Data Science and Machine Learning experience.
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The candidate must possess a Bachelor's or master's degree in International Trade, Business, Management, Information Systems, Computer Science, Industrial Engineering, Data Science, or a related field.
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Job Req ID: 24914 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Experience with supporting data science / machine learning data pipelines. Experience with relational databases, data modeling principles, data pipeline tools and workflow engines, e.g. DBT, Apache Airflow, AWS GLUE, Spark.
$180,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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The Customer Intelligence and AI (CIAI) team is a specialized Data Science unit within Robinhood's Corporate Strategy organization. Our goal is to deepen insights into customer behaviors and satisfaction using data science, machine learning, and AI. We partner with several teams across Robinhood including: Data, Product, Marketing, Eng, Finance, and Research.
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Experience with high throughput sequencing methods and sample preparation, fluorescence microscopy, flow cytometry, lentivirus handling, and computer programming. Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds.
$75,000 a yearRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$250Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
$150ExpandApply NowActive JobUpdated 6 days ago
computer science big data jobs Title: associate professor assistant in Sunnyvale, CA
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