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JOB-A-THON - November 2022

About the Event

JOB-A-THON is BACK (This time exclusively for Data Scientists)!

Analytics Vidhya presents JOB-A-THON: 12th Edition, where 75,000+ candidates have participated in job roles in over 100+ companies.

You can be among them too! 

At JOB-A-THON, all Data Science enthusiasts, freshers and professionals 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.

Stay tuned to know more about Participating Companies & Job Opportunities

Companies Participating & Job Opportunities

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Open Job Profiles (Stay tuned for more)

1 Acuvate Data Scientist
2 Clix Capital Growth Analytics
3 Convergytics Data Scientist MMX
4 Holcim Data Scientist
5 LatentView Data Science - AI
6 Lenovo Data Engineer
Business Analyst
Data Scientist
7 L & T Finance Team Member Analytics
8 News Technology Services Associate Principal Data Scientist (Research Lead)
Data Scientist
Senior Data Scientist
9 Rezo AI Data Scientist
Business Analyst
10 Ripik AI Data Scientist
11 RSA Analytics -Data Expert
Analytics – Senior Consultant/ Consultant
12 Schneider Electric Principal Architect – AI
AI Engineering Manager
13

Tredence

Data scientist / Sr Data Scientist
Manager- Data Science
ML Engineer / Sr ML Engineer
14

TVS Motors

Principal Data Scientist
Lead Data Scientist (Computer Vision)
Lead Data Scientist (NPL and Voice AI)


Why should you participate?

“If opportunity doesn't knock, build a door ”, and JOB-A-THON is NOT an opportunity you want to miss. It’s your doorway to working in your dream job!!

Whether the top MNCs or fast-growing startups, we have multiple job openings across different industry verticals and various cities in India (including Bangalore, Pune, Delhi-NCR, Mumbai, Chennai & Hyderabad).

Register now and make the best of this opportunity!

Who should participate?

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

How does JOB-A-THON work?

Participate in Discussion

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Registration Details

6389

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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