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JOB-A-THON - May 2022

About the Event

Register for JOB-A-THON - November 2022 here

Data Science jobs are rapidly emerging among the hottest jobs in the industry. With almost every organization wanting Data Scientists as a part of their team, being a part of these top organizations has never been this easier…


India's Largest Data Science Hiring Event is back…

and it is BIGGER and BETTER than ever!

Analytics Vidhya presents "JOB-A-THON" - India's Largest Data Science Hiring Event, where every data science enthusiast will get the opportunity to showcase their skills and get a chance to interview with top companies for leading job roles in Data Science, Machine Learning & Analytics. 

An event where 55,000+ candidates have participated for job roles in over 115+ top companies. You can be among them too! 


Stay tuned to know more about Participating Companies & Job Opportunities


Participating Companies & Job Opportunities


Open Job Profiles (Stay tuned for more)


Why should you participate?

As Steve Jobs said “You can't connect the dots looking forward; you can only connect them looking backward”, and with JOB-A-THON, we want to connect the dots in your career.

Here’s the ultimate opportunity for you to interview with top companies that are looking to hire the best talent in Data Science & Analytics. Be it in top MNCs or fast-growing startups, we have multiple job openings across different industry verticals and across various cities in India (including Bangalore, Pune, Delhi-NCR, Mumbai, Chennai & Hyderabad).

This is the right time and the right place to take the giant leap. Hurry, Register Now!


Who should participate?

This opportunity is open to all data science enthusiasts, statisticians, data scientists, business analysts & students. 


How does JOB-A-THON work?

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Registration Details

4

Total registered

Know where you stand

Spaces You Can Join

Data Science

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Generative AI

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Data Engineering

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Frequently Asked Questions

Find the answers for the most frequently asked questions

Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.

Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.

There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.

In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.

Depending on the type of competition, you can participate individually or in a team.

Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.

AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.

You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.

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