What skills are these data science start-ups looking for?


Interesting article  posted in yCombinator, a community for angel investors. They looked at job ads posted by various analytic-intensive start-ups in 2014.


Here are the skills these start-ups are looking for, according to yCombinator:

  • Data visualization
  • Machine learning
  • Distributed systems
  • Familiarity with compliance & security standards including PCI DSS, FFIEC, GLBA, ISO 27001, HIPAA, and NIST
  • Well versed in JSP, JavaScript, JSON, XML (VXML & CCXML)
  • Experience with source code control tools
  • 2+ years of Java experience
  • Fluency in Python, Java, C++, or similar (Python strongly preferred)
  • Production experience with relational databases
  • Experience with distributed caching techniques
  • Solid foundation in data structures, algorithms and complexity analysis
  • Strong programming background in Linux
  • Passion for security, and a practical and balanced approach to security issues
  • Familiarity with AWS and MySQL
  • A knack for solving complex UI & UX problems
  • Experience building your own MEAN apps
  • Expertise in building clean, api driven code
  • Optimizing marketing strategies based on performance metrics.
  • from backend Python services to slick dashboard features in JavaScript.
  • Advise clients on strategies to meet their marketing objectives.
  • You’ve built and launched your own projects.
  • You have a Github account and you read Hacker News
  • You know what it means to build lean and iterate.
  • Node/Express
  • AWS
  • MySQL
  • AngularJS
  • Objective-C
  • Java Android SDK
  • 5 years of relevant work experience, including large systems software design and development experience, with knowledge of UNIX/Linux.
  • A Polyglot with experience applying multiple web development languages to live applications.
  • well-versed in a Python web stack
  • strong UI development experience using HTML, CSS and JavaScript/AJAX.
  • a solid foundation in computer science, you have strong competencies in data structures, algorithms, and software design.

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