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Data science, machine learning, optimization models, Master’s degree 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)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Basic programming skills in one of the following: Python, R, JavaScript, SQL, Julia, or Scala. Applied Materials has an exciting opportunity to join a world class Global Investigations and Digital Forensics Team. This Data Scientist will be part of a multi-disciplinary team that works collaboratively within Legal and jointly with the Information Security, Business Units, and Corporate Services teams to conduct a wide range of business intelligence and investigation support functions.
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Compile and cleanse data in preparation for actuarial analyses using scripting languages such as R, SQL and Python etc. Code fluency in R or Python and SQL, and proficiency in analytical tools (e.g. Google Sheets, Microsoft Excel.
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Write SQL/Presto/Trino/Spark queries to extract the necessary data and leverage data visualization tools such as Tableau to present the information. The ideal candidate has 2+ years working with SQL and data visualization tools to query large data-sets (e.g. Presto/Trino, Spark SQL, Tableau, etc.
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Experienced/advanced in at least one programming language central to Data Engineering (e.g. SQL/Python/R/Spark) or skilled in multiple languages. Develop relationships with relevant members of the Information Technology (IT) department to extract, transform, and load data from multiple disparate data sources.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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In this role, you will research the latest advances in the digital health domain across the health value chain and navigate across startups, universities, VCs, health technology incubators and accelerators, and the broader health ecosystem to create a pipeline of new product concepts for our digital health R&D teams.
$257,200 - $399,300 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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2+ years of coding experience in SQL, Python, R. Being strongly skilled at manipulating and integrating data from a variety of sources. Specific responsibilities include: - Champion security: Follow best practices to meet the high standard of regulatory data security requirements.
$144,000 - $240,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Master’s degree 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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Knowledge of statistical analysis and programming languages (such as R/Stata, Python, SQL/Hive) Our interdisciplinary team includes those with expertise in statistical inference, survey methodology, causal inference and econometrics, regression modeling, exploratory data analysis, and mathematical demography, among other areas.
$109,000 - $171,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Understanding of sequencing methodologiesAbility to perform statistical analysis of data with programs such as JMP, R, etc. Client is looking for a motivated and team-oriented individual who is passionate about next generation sequencing technology.
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Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages. Present complex information using data visualization techniques.
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Experience in programming languages used for data manipulation and computational statistics (Python, R, MATLAB, C. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today’s digital world.
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R&DE comprises 1,300 FTE and part-time staff in the following divisions: the Office of the Senior Associate Vice Provost (SAVP), Student Housing Operations, Stanford Dining, Stanford Hospitality & Auxiliaries, Stanford Conferences, and a team of R&DE strategic business partners: Finance & Administration, Human Resources, Information Technology, Maintenance Operations and Capital Projects, and Strategic Communications.
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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) Come up with solutions for scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, implement projects and provide delivery oversight.
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information technology python sql r jobs Title: data in Sunnyvale, CA
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