Red Hat Company hiring Data Science Trainee – Freshers Apply Fast!

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So check this out – Red Hat’s hosting a hiring event off campus for new data science trainees. Actually a pretty sweet deal if you just finished up your degree. Or heck, even if you’re still a student you can toss your hat in the ring.

Job Description :-

Company NameRed Hat
Job RoleData Science Trainee
QualificationAny Degree
ExperienceFreshers
BatchAny Batch
LocationBangalore – Carina
CTC/SalaryNot Disclosed

Tips to Prepare an ATS-Friendly Resume :-

1. Use Job Titles and Words the Posting Uses Match the words: Use the same skills, titles, and stuff they list in the job ad. These show you fit what they’re looking for. Avoid company lingo: Stick to words everybody uses over weird company talk.

2. Pick a Clean, Simple Setup Nix photos and graphics: Computer systems get confused by extra stuff. Keep it to plain text. Standard fonts: Use normal fonts like Arial or Times New Roman. Nice and simple. Clear sections: Use sections like “Experience” and “Skills” so it’s organized.

3. Make it Logical Organize it: List your jobs backwards with the newest first. Label sections clearly. Bullet points: Use bullet points to break up blocks of words and make it easy to scan.

4. What to Include Contact: Your name, phone/email, LinkedIn if you have one. Experience and abilities: Show professional experience and anything useful you can do, with numbers when possible (grew sales 20%). Education and certificates: Related degrees, training certificates, etc.

5. Use Keywords Skills/strengths: Both technical skills and soft stuff like communication or leadership. Job titles: Use the same words for roles that everyone does. Action verbs: Use strong verbs like “managed” “created” “led” to show what you achieved.

6. Format: Word (docx) or PDF File type: docx or PDF both work for systems. But double check what they want posted, PDFs can get weird sometimes.

7. Test it Out ATS test sites: Copy/paste your resume into sites that test how the system will read it to catch issues. Plain text check: Paste into plain text doc to see how it looks without formatting.

8. Check for Mistakes Spelling/grammar: Make sure no typos or grammar problems. Looks bad and can mess up reading!

Tips for acing the job interview:-

Beforehand

– Learn about the company. Understand what they do, what they care about, all that. See what skills and stuff are needed for the actual job.

– Practice answering common questions like tell me about yourself and what are your strengths and weaknesses? Have real-life stories ready to go.

– Prepare some good questions to ask about the job, the team, training programs

– it shows you really want it.

– Have your elevator pitch down. A short spiel about your background and what you bring to the table.

– Dress to impress, even if the office is casual. Better overdressed than under.

During the Big Day

– Get there 10-15 minutes early in case anything makes you late. They notice punctuality.

– Smile, eye contact, solid handshake. Sit with good posture and lean in to show you’re engaged.

– Listen close to each question asked. Take a sec before answering if you need it. Don’t ramble, get to the point.

– Be cool answering tricky questions too. Stay calm, be honest if you’re unsure, and say how you’d figure it out.

Afterwards

– Send a thank you email expressing continued interest in the gig. Do this within 24 hours.

– Review how it went. What answers flowed well or needed polish? File it away for next time.

– Don’t bug them too much while they make a decision. If it’s been as long as they said the process takes, politely check in.

Eligibility / Qualification:-

  1. Know machine learning and AI systems. Have a background in computer science and math too.
  2. Be self-motivated and able to work with technical stuff
  3. Good at communicating and working with others
  4. Quick to learn new software
  5. Creative problem solver.
  6. Good analytical skills too.

Roles and Responsibilities:-

  • Work with other engineers and product people to make cool AI stuff
  • Be eager to learn and help out our team
  • Work closely with your coach and get experience on the tech side
  • Talk to lots of folks here and around the world
  • Someone who takes charge and gets stuff done
  • Excited to figure things out and make things happen
  • Creative thinker
  • Plays nice with others

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