Data Scientist
Analytics Vidhya
Gurgaon, IN
23h ago

Do you feel passionately about solving problems through data? Have you spent 2+ years solving business problems through data?

Do you aspire to take data science to millions of people out there? Can the leader in you make people follow data science out of sheer passion?

Would you enjoy helping people solve problems with out expecting any thing in return?

If the answer to all the questions is yes look no more. Analytics Vidhya is looking for evangelists who can carry and deliver their baton to the world.

What should you expect?

  • A team of best data scientists and thought leaders from industry.
  • Disciplined entrepreneurship within team. Each person is owner of his own work you set the milestones, the pace and the achievements.
  • High standards, deep passion for data science and a commitment to find out ways to make things work.
  • Who can fill in the shoes?

    This role is best suited for :

  • Person with 2+ years of experience in data science. The person should have prior experience with practical data science applications and use cases.
  • Person who loves problem solving through data. She / He should be able to do things hands on by himself or guide a team of data scientists to solve a problem.
  • A person with deep experience in tools like SAS / R / Python / Julia / Matlab and machine learning / predictive modeling techniques / Machine Learning Algorithms.
  • Strong problem solving and communication skills (English).
  • What is the role?

    Being a startup, the role would evolve over time. But, here are a few things you can expect :

  • Creating problems for our hackathons by working closely with the clients
  • Continuously learning new skills and evangelizing them with in our community
  • Defining and leading our strategy in making data science easy and accessible to all
  • Leading industry events, meetups, webinars and competitions
  • Develop custom data models and algorithms to apply to data problems
  • Use predictive modeling to increase and optimize customer experiences and other business outcomes.
  • Apply
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