精选DS岗位 | Red Hat专场！

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• Knowledge of data privacy regulations and compliance practices; ability to maintain confidentiality while analyzing sensitive information

• Ability to take complex datasets and create key takeaways and recommendations using several data sources

• Innovative data visualization and storytelling skills using Tableau (development) or other data visualization tools

• Solid consulting, presentation, technical, and analytical skills as well as the ability to enable others to tell a compelling story using data

• Ability to construct professional presentations, recommendations, and strategic and tactical plans

• Organized and detail-oriented with advanced capabilities in design

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• Ability to work full-time May-August 

• Currently pursuing a degree in engineering, computer science, or a related field; 

• Coding experience in Python 

• Good written and verbal communication skills

• Coding experience with Jupyter notebooks

• This internship is open to students who are graduating in 2024-25.

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• Ability to work full-time May-August
  Currently pursuing a degree in engineering, computer science, or a related field; if you have graduated, be no more than 6 months past your graduation date

• Gather and/or define requirements, often through interviews and facilitating meetings with client subject matter experts.
  Perform fit/gap exercises that map requirements to standard features and functions.

• Plan and execute development to verify the solution is properly configured and extended to meet requirements.

• Experience working with a variety of information systems and data files, including large and complex files: analyzing file structure, using and creating file layouts, ETLing raw date into finished products

• Knowledge in tools like Tableau, Power BI, Qlik or any reporting tool experience

• Intermediate knowledge of at least one programming language, ideally Python or R

• Working knowledge of SQL, SAS/SPSS

• Experience with API connections and data pipelining
  Advanced statistical training and a thorough understanding of the associated strengths and weaknesses of different statistical analysis approaches

• Demonstrated hands-on experience with experimental design and testability

• Excellent data reporting and presentation skills

• Ability to prioritize, work with multiple departments and deliver at a high speed

• Strong written and verbal communication skills : ability to tell story through data

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