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KEY RESPONSIBILITIES

• The Database Product Manager Intern will be self-disciplined, organized, and detail-oriented, with a strong sense of ownership and follow-through.

  
  

• This is a high-energy position that requires someone who is quick to pick up new skills, a person who can work well with colleagues around the world.

  
  

• Use the new Autonomous Graph Database and perform usability evaluations of features, associated LiveLabs, Sample Notebooks and documentation.

  
  

• Write evaluations and enhancement requests/tickets based on experiences.
  

  
  

BASIC QUALIFICATIONS

• Basic SQL Programming / Relational database skills.

  
  

• Strong writing, organizational and analytical abilitiesKnowledge of MS Office, Confluence or similar toolsSome Java programming knowledge and familiarity with Markdown
  

  
  

KEY RESPONSIBILITIES

• Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization.

  
  

• Develop models to build solutions to tackle real-world business problemsInteract with product and service teams to identify questions and issues for data analysis and experimentsCommunicate your analysis findings to product, service, and business managers
  

BASIC QUALIFICATIONS

• Enrolled in a Bachelor’s degree program in an applied business or quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, Business Analytics, or equivalent field during the 2022-2023 school year.

  
  

• Have completed at least your Sophomore year toward your undergraduate degree, or higher, by summer 2022.

  
  

• Have no more than 12 months of professional full-time work experience in the technology field (excluding internships, research and/or teaching assistant roles, and military experience).

  
  

• Are experienced (i.e. can complete projects with limited assistance) with two or more of the following data-science tools (or equivalents):Python, SQL, R, Hive, Spark, Hadoop, ScalaAre proficient (i.e. can complete projects without assistance) with two or more  of the following data-science methodologies (or equivalents): Big-data querying, machine learning, data visualization, data mining, statistical inferenceAttend a university in the USAuthorized to work in the US in 2022
  

  
  

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