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Fluency in core set of Data Science. Embedded within the product team, data scientists are responsible for setting product goals in the right direction; driving growth on business partners; designing experiments and frameworks to identify opportunities and risks.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Sunnyvale, California, United States. The Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipelines based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle issues or provide recommendations for the next step of solving problems.
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Technicians must ensure that data center problems are identified and repaired quickly, that contractors deliver quality services, and that internal customer demands are met. A Tier I technician will gain an on-the-job understanding of the mechanical, electrical, fire life safety, and security systems used in a data center environment including, but not limited to the following: electrical distribution and layout, transformers, PLC’s, generators, switchgear, UPS systems, STS’, ATS’ PDU’s, chilled water systems, CRAC/CRAH’s, pre-action sprinkler systems, security hardware, CCTV, monitoring, and CMMS systems.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, NLP text mining, and LLM.
$138,500 - $187,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Keywords : "data scientist" AND "geospatial" AND "PHD" AND ("Descartes Labs, Inc" OR "Capella Space" OR "ICEYE" OR "Planet" OR "BlackSky" OR "Esri" OR "Spire Global" OR "Synspective" OR "Umbra" OR "Ursa Space Systems" OR "Cape Analytics, LLC" OR "CARTO" OR "ORBIT GeoSpatial TechnologieS" OR "Hayden AI" OR "Maxar Technologies" OR "SpaceKnow.
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Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL. · Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
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Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organization's data delivery system from applications to analytics & ML.
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Ensures that data regarding Vizient quality and safety initiatives are routinely reviewed and actions for improvement are identified and acted upon by multi-disciplinary teams. Works with the SHC quality analytics team and Clinical Business Analytics teams to ensure SL data needs are met using appropriate data source.
$94.28 - $124.9 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Senior Data Scientist for our team, you'll leverage your expertise in machine learning, deep learning and reinforcement learning to create large-scale, personalized recommendation models for our omni-channel retail platform, with a focus on exploring and implementing cutting-edge technologies like Large Language Models (LLM's.
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Your hands-on failure analytical skills and strong quality mindset are essential as you will be working to drive GPU Data Center products quality improvement initiatives and programs.
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RELATED JOB OPENINGS: Senior Machine Learning Engineer / Data Scientist Machine Learning Engineer / Data Scientist Software Engineer - Data Engineering Analytics Engineer. This is an opportunity to work on interesting data engineering anddata science problems, build large scale distributed machine learningsystems from the ground up, anduse cutting edge Big Data technologies like Spark, Kafka, HBase and Hive. RESPONSIBILITIES: ● Design and implement data pipelines empowering real timeinsights.
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Lead large transformations for former employers and has evolved & matured current Master Data Management, Data Governance, Data Architecture, Data Quality, Enterprise Data Management, and Data Design practices.
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As a Senior Data Scientist, you will own building models and collaborating with engineers to effectively integrate customer data, deploying models that consistently deliver high-quality results for a rapidly expanding base of enterprise clients.
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You know data structures, you know Python and (optionaly) Go. Our tech stack Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake TableOpen formats IceBerg, Avro, ParquetDataProc, Spark, Flink, PrestoPython, GOApache Kafka, Kubernetes, GitLabBigTable, Mongo, Redis.
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Title: data quality Company: Proactive Strategies in Mountain View, CA
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