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Build and maintain manufacturing databases in Google Cloud Platform BigQuery. Intermediate experience with data analysis language (Python, R or Matlab) Experience with Google BigQuery SQL and database creation.
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This includes installing, staging, testing, configuring, enhancing and supporting the Linux, Unix and Windows based computational applications and productivity tools on PSTAT departmental servers: MATLAB, SAS, Mathematica, R, Python, C.
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Experience with statistical software such as R, Python, MATLAB, pandas and database languages such as SQL. · Experience with cloud platforms such as Azure, AWS or Google Cloud Platform.
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With cloud technologies: Google Cloud Platform, AWS, Azure, or related tools. with programming languages: Python, JavaScript, R, MATLAB, etc. with cloud technologies: Google Cloud Platform, AWS, Azure, or related tools.
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The ideal candidate is adept at using big data sets and applying machine learning and artificial intelligence techniques for analysis and prediction tools focused on environmental and meteorological applications.
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As a Customer Engineer, you will contribute experience and thought leadership to support Google Cloud Sales teams and drive vision, mission, and strategy around Google Cloud AI/ML solutions that aid in a customer’s migration and transformation.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R, Matlab or Mathematica.
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Our Competition practice economists provide analysis and testimony in matters involving mergers and acquisitions, antitrust litigation, and global competition policy. Antitrust and Competition Economics (Boston, Chicago, New York, Oakland, Washington DC.
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We currently ask that individuals spend 3 to 4 days a week on average working in the office (which may include traveling to another CRA office or to a client's location), with specific days determined in coordination with your practice or team.
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As part of our focus on equity and inclusion, we work to ensure a fair and consistent hiring process. CRA advises clients on economic and financial matters pertaining to litigation and regulatory proceedings, and guides corporations through critical business strategy and performance-related issues.
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Coordinates provisioning of cloud computing services and credits (AWS, Google Cloud, Azure) to department researchers. Analyzes system requirements from cost, development, deployment, capacity, flexibility and support perspectives, encompassing hardware, virtualization and cloud computing aspects.
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Experience in programming languages used for data manipulation and computational statistics (Python, R, MATLAB, C. Google Cloud accelerates every organization’s ability to digitally transform its business and industry.
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Experience with data analysis and visualization tools, such as Python, R, or MATLAB. Experience with cloud computing platforms such as AWS or Google Cloud. Experience with deep learning and computer visionWhat we offerYou will join a team that is passionate about having an impact on climate change.
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The state of California and the city of New York require CRA to include a good-faith estimate of the wage range for this role. Our Labor team provides in-depth analysis, expert reports, testimony, and advisory services to clients involved in complex labor and employment issues such as wage and hour litigation and pay equity disputes.
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Clear and demonstrated interest in consulting through coursework, work experience, activities, or attendance at CRA recruiting events; Explore how CRA can help you launch your career and click here to learn why PhDs choose CRA.
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