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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Displaying knowledge or familiarity with industry financial instrument pricing tools and data sources e.g. Bloomberg, Refinitiv etc.
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Cloud based data warehouse technologies (Snowflake, BigQuery, Databricks, etc.) 3+ years of hands on experience with data visualization tools (Tableau, Looker, PowerBI, etc) Data engineering (Python, dbt, Kafka, Parquet, Fivetran, Hightouch, etc.
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We are looking for an experienced Senior Data Science Manager to lead our talented team of Data Scientists responsible for count algorithms. Comprehensive knowledge and hands-on experience in 3D data analysis and machine learning algorithms.
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You will handle everything from backend data ingestion and model training to creating intuitive front-end interfaces for data visualization and correction. Join a pioneering team focused on revolutionizing data-centric AI. As a Software Engineer (Full-Stack), you will develop innovative software systems to enhance data quality for various industries.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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PhD in Life Sciences/Chemical Engineering/Life Science with specialization in upstream processes, or multiple years in the manufacture of pharmaceutical plastics. Principal Scientist Materials Science LA, SF or MA.
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Our department has primary responsibility within UCSF for delivering training in the methods of epidemiology, biostatistics, health data science, public health, and health services research.
$297,200 a yearTemporaryExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field. Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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Provide technical guidance and support to internal Cruise teams-including Engineering, Product Management, and Data Science-to ensure privacy enhancing technologies and solutions are embedded in the product development lifecycle.
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Assess scientific literature, patents, and patent application documents, each encompassing a variety of chemical subjects, including organic, synthetic, and medicinal chemistry, as well as material science.
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Keywords: patent agent, electrical, computer science, software, electrical engineering, patent prosecution agent, patent opinions, software patents, computer engineering, electronics, telecommunications, patent agent, patent law, IP associate, intellectual property.
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You'll work alongside product management, engineering, design, product marketing, data science, and content strategy to create impactful new features for Pinners and advertisers. Conduct research that varies in approach, scale, scope, timeframe and methodologies (may include ethnographic, interview, participatory workshops, usability, surveys, data analysis) with the goal of to improving the Pinner and advertiser experience with ads on Client.
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Our groundbreaking product enables data engineers to generate pipelines directly from data science notebooks, track data flows and lineage, and swiftly identify and resolve issues.
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data science mining jobs Company: Autodesk in San Francisco, Grove-city, Ohio
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