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As a senior member, you will spearhead the design, development, and implementation of advanced data science models, utilizing large-scale log-level data in Google BigQuery and Snowflake.
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Familiarity with machine learning and data science ecosystems especially AWS Sagemaker and Databricks is highly preferred. Familiarity with modern data science and product analytics tools and techniques such as R, Machine Learning, and advanced statistics is a plus.
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Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 5 years' experience in software engineering or related field.
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The department is an academic hub, in partnership with other SJSU departments and industry partners, for promoting education and research in applied data science. To address the immense demand for data science professionals, the department launched an.
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UST is looking for a Technical Data Analyst who has hands on experience migrating Sales users and Sales data like Accounts, Opportunities, Contacts from Salesforce.com to Dynamics 365.
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The team As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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Existing data from the Hubble Space Telescope, the Spitzer Space Telescope, and the W. M. Keck Observatory are available for these studies, and applications for new observations are also encouraged.
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Apple Music Data Engineering Software Engineer. This will include crafting systems to model, ingest, process and compute large-scale, mission-critical data across Apple Music. Expertise building and running large-scale data pipelines, including distributed messaging such as Kafka, data ingest from various sources to feed batch and near-realtime or streaming compute components.
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In close cooperation with our customers, Bruker is enabling innovation, improved productivity, and customer success in life science molecular research, in applied and pharma applications, in microscopy and nanoanalysis, and in industrial applications, as well as in cell biology, preclinical imaging, clinical phenomics and proteomics research and clinical microbiology.
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Job Req ID: 25480 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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This Sr. Engineer role supports our next-generation biosensor product design and development, focusing on clinical data analyses and sensor algorithm verification and improvement. Analyze unstructured and/or structured biological data from biosensor clinical trials and evaluate biosensors performance to support product designs.
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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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OR You may substitute education for specialized experience as follows: One (1) academic year of graduate education in a field of study such as business administration (e.g., finance, accounting, auditing, marketing, and business law), law, economics, criminology, political science, government, public administration, or another related field.
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As a global leader in server technologies, Supermicro has been growing extremely fast in many key markets such as Cloud Computing, Big Data, HPC, AI and Storage, etc. Staff Test Engineer plays an important role in designing, implementing, testing and deploying rack system solutions for data center and enterprise customers.
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Data Visualization Tools: Proficient in data visualization, with experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker. Experience in Enterprise-ready Cloud Data-Warehousing platforms like Snowflake is highly valued.
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science data jobs Title: data analyst Company: Hp in San Jose, CA
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