Data Scientist

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Data Scientist

Analytics Vidhya

Gurgaon INR 8 - 12 LPA Experience : 2 - 5 YRS. Openings: 2

Details:

  • Do you feel passionately about solving problems through data? Have you spent 3+ years training aspiring data professionals?
  • Do you aspire to take data science to millions of people out there? Do you enjoy helping people solve problems?
  • If the answer to all the above questions is yes – look no further. 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 the team. Each person is the owner of his/her 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.

Currently the team is working remotely. Once the pandemic situation gets better, we would love to have you in our office in Gurgaon.

Min. Qualification:

This role is best suited for:

  • Person with 2+ years of experience in data science. The person should have strong understanding in at least one of these fields (ML/ DL/ CV/ NLP)
  • Person who loves problem solving through data. 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 R / Python and techniques like machine learning / deep learning/ NLP and computer vision.
  • Strong problem solving and communication skills (English)

Skills Required:

R / Python, Machine learning, Deep learning, NLP, Computer vision

Roles:

Here are a few things you can expect:

  • Being well versed with latest developments in ML research including techniques, new libraries and packages and evangelizing them with our community
  • Develop custom data models and algorithms to apply to data problems.
  • Creating problems for our hackathons by working closely with the clients
  • Leading industry events, meetups, webinars and competitions
  • Build machine learning solutions to increase and optimize customer experiences and other business outcomes

 

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