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Familiarity with REST API, Python, SAS, VBA, asynchronous programming, GIT Lab, Tableau, Windows Services, and SQL Tuning. Familiarity with REST API, Python, SAS, VBA, asynchronous programming, GIT Lab, Tableau, Windows Services, and SQL Tuning.
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As a Process Improvement Intern, you will play a key role in learning and utilizing various tools and technologies, including Python, Power BI, Alteryx, Anaplan, SQL, and other applications, to enhance our operational efficiency and overall performance.
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Experience with Python, R, SQL, SAS, MATLAB, or SPSS. Experience with Python, R, SQL, SAS, MATLAB, or SPSS. Our client, a digital medical research facilitator, is looking for a Data Scientist to join their growing team.
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This role's primary focus would be cloud integration technologies (SAP CPI), data modeling, API, JSON, authentication, and security. Carry out data modeling, create schemas, and carry out modifications in the HANA environment.
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Experience utilizing statistical modeling techniques to develop quantitative trading models. Continuously improve trading models and modeling techniques. Experience utilizing statistical modeling techniques to develop quantitative trading models.
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Proficiency in programming languages such as TypeScript, JavaScript, Yaml, Python or Java. Experience in building and managing IaC pipelines via AWS CDK. Strong understanding of AWS services and architecture, including EC2, S3, RDS, Lambda, VPS, IAM, etc.
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Knowledge of scripting languages such as PowerShell, Python, or Bash. Certifications such as Microsoft Certified: Azure DevOps Engineer Expert, or Certified Kubernetes Administrator (CKA). Utilize containerization technologies such as Docker, Rancher, and Kubernetes to orchestrate and manage our application containers.
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Python, YAML, GO, Bash, PowerShell, Java, JavaScript, NodeJS. IaC (Terraform, Ansible, Puppet) Continuous Integration / Continuous Delivery tools and frameworks - Jenkins, Bamboo, CircleCI, GitLab, ConcourseCI.
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2+ years of experience with statistical/analytical tools such as Python, R, SQL, etc. Conduct advanced statistical analyses and predictive modeling to identify patterns, trends, and correlations in HR data related to employee engagement, retention, performance, diversity, and other key areas.
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Apply statistical analysis and predictive modeling techniques to derive insights from financial data sets. Utilize Sagemaker, Tableau, and TensorFlow to develop and deploy cutting-edge machine learning models and analytical solutions.
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The Villanova Center for Resilient Water Systems is hiring undergraduate research assistants to work on specific tasks related to sponsored research on field monitoring and sampling, laboratory testing, data analysis, and/or computer modeling.
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Experience working with Python or TypeScript strongly preferred. The candidate should be strong with a full-stack engineering background who is looking to be part of the innovation pipeline to test new ideas in areas such as AI, machine learning, UX, analytics, and blockchain via small scale technology pilots.
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Develop, perl, php, python, software development engineer, software programmer, sw. Modern HTML/CSS/JavaScript (flexbox, grid-layout, html5) Node ecosystem, Node build systems and TypeScript. Docker, container technology, and Kubernetes.
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Understands pricing components and rating methodology as well as use of the predictive modeling tools; prices risk based on financial and competitive analysis. CNA’s Commercial Middle Markets team provides standard lines commercial property and casualty insurance products such as General Liability, Property, Inland Marine, Commercial Auto, Workers' Compensation, and Umbrella to businesses of all sizes.
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Your responsibilities will include working closely with the development team to integrate frontend components using React, developing robust backend services with Python and Django, creating and consuming APIs, and managing applications on AWS infrastructure.
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