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Data science, machine learning, optimization models, PhD 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.
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Experience in at least one modern programming language such as Python, Java, Go, Rust, and proficiency in SQL. Proficient in large-scale data processing including batch and streaming, query engines, tooling, and storage formats.
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Hands-on Experience in Big Data and cloud technologies tools, i.e. Hadoop, Hive, Iceberg, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. The Data Science Solutions Engineer at Lucid is setting data science pipeline for our fast growing data team.
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Design and Build Big Data platforms using Hortonworks, Cloudera CDH, Apache Hadoop as a Data Storage and processing systems using Apache Spark and Presto Analytics Engine. Build high throughput data pipelines using Apache Kafka that enable sophisticated Catalog Azure/GCP Data Lake and ensure that all data transmission is secured and protected.
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Redwood City office of a BCG Attorney Search Top Ranked Law Firm seeks a patent litigation associate attorney with 3-4 years of patent litigation experience. Similar Jobs: VP Data Science.
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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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EXPERTISE TECHNOLOGYCloud, DevOps, RPA, SAP, Data warehouse, Business Intelligence, SFDC, Java, React js, Net, Embedded Technologies, Big Data and Hadoop, Abinitio, CyberArk, Dell Boomi, Golang, Mulesoft, Guideware, MarkLogic.
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Develop and implement a comprehensive digital marketing strategy including account-based marketing, email marketing, lead nurturing, retargeting, display advertising, paid search, SEO, and SEM to create and advance pipeline.
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Nice to have - Domain knowledge in life sciencesNGS (next generation sequencing ) data formats (e.g. BAM, FASTQ, ) and Data pipelines (WGS, Broad GATK, Backend systems including Realtime search (Elasticsearch), Database (PostgreSQL), Datawarehouse (Snowflake.
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We are inviting talents to the Search team at Moveworks as interns for the summer of 2024, to join the effort of building a LLM-based enterprise copilot platform. At Moveworks, we build search technology to answer enterprise users’ questions instantly, by combining modern information retrieval, natural language processing, with the latest advancement in generative AI technology.
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Collaborate with NPM's staff across Clinical Science, Digital Health, Software Engineering, Data Science, and Informatics to detail AI model functionality and requirements - to significantly increase efficiency and reduce cost in the areas of medical document control, clinical information extraction, information synthesis, and clinical note preparation.
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Experience in data science, statistics, optimization, machine learning, and/or deep learning. Experience with signal processing of medical imaging data. ☰Research Data Analyst 1 (75% FTE/Hybrid Opportunity)NewInformation Analytics.
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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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Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM. - Optimize various basic algorithms such as NLP, vision, multimodal, search, graph, LLM, etc.
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Working, hands on, knowledge of modern Data Pipeline tools (DBT, Snowflake, Airflow) and Data visualization tools (Looker) 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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