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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Working knowledge or coursework in data science and knowledge of data science languages such as R, SQL, and Python. Working knowledge of data visualization software such as Tableau, Looker, or Domo.
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Basic experience with versioning software such as Git.- Working knowledge of data visualization software such as Tableau, Looker, or Domo.- Fundamental knowledge of statistics with some hands-on experience in A/B testing, regression analysis, and ANOVA testing.
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We create best-in-class data solutions from internal and external sources by leveraging a diverse set of cloud technologies like Snowflake, the Azure tech stack, Databricks and Python. Use SQL, Python and Snowflake to understand underlying data and processes, suggest improvements for performance and best practices.
$95,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You must have a solid understanding of cloud data platforms and the data & analytics ecosystem, with hands-on experience across data engineering, data science and data visualization. Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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As a Python Engineer at HRT, you’ll have an incredible opportunity to work in cutting-edge distributed compute environments at one of the top algorithmic trading companies in the world. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advertising and Media Consumption Analytics - With our purchase of Warner Media, AT&T is now a global media and entertainment leader, with exciting opportunities for data science applications that model consumer media consumption, develop personalized content, and optimize advertising effectiveness and delivery.
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Advanced Excel skills, Tableau, Formstack, Python and/or R, SQL. Engage in data analysis and reporting, data visualization, research, and evaluation, and support the CQI team in the development of appropriate qualitative and quantitative methodologies.
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Create trading applications and services for use by the Municipal Bonds Trading Desk using Java, TypeScript, SQL/Oracle, Python. Work in a Trading environment as part of an agile team doing hands-on full-stack development with emphasis on Java, TypeScript, Oracle and Python.
$75.29 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Undergraduate teaching experience in core topics in Data Science such as programming, data mining, data visualization, Parallel and Distributed Computing, Machine Learning, Big Data Engineering and, Probability and Statistics will be considered an asset.
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Academic background in a science field (e.g., molecular biology, genomics, cell biology, immunology, biochemistry) and should have basic understanding of economics, macroeconomic factors, and government policy.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in scripting languages such as Python, PowerShell, or Bash. Experience with Infrastructure as code (IaC) tools like Terraform, CloudFormation, or Ansible. Relevant cloud certifications such as AWS Certified Solutions Architect - Professional, Azure Solutions Architect Expert, or Google Cloud Professional Cloud Architect.
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