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We need someone who really cares about using AI to improve healthcare. You should be excited to learn all about processing drug safety cases and doing research to make things better. Even if you're just starting out, like 0-3 years of experience, we want to hear from you.
Job Description :-
| Company Name | Cognizant |
| Job Role | ]Trainee Junior Data Analyst ] |
| Qualification | Any Degree |
| Experience | 0-3 Years |
| Batch | Any Batch |
| Location | MUMBAI / India |
| CTC/Salary | Not Disclosed |
Tips to Prepare an ATS-Friendly Resume :-
Getting your resume noticed by the Applicant Tracking System is super important if you want employers to actually see it. I’ll give some tips to help make your resume look good to the computer system if you’re applying to be a Data Scientist.
1. Keep it simple. Don’t use crazy fonts, tables, or anything too wild. Stick to basics like clear section headings (“Skills,” “Experience”).
2. Load up on keywords. Pull words right from the job description – Python, Machine Learning, whatever. Show you have the technical and people skills they want.
3. Use normal job titles. “Data Scientist” or “Analyst,” not “Future CEO.”
4. Put key info in the body text. No footers! Recruiters might not see em. Keep your name, address, LinkedIn front and center.
5. Save as a .docx or .pdf file. Make sure the pdf isn’t an image or anything weird. Give it a professional name too like “FirstName_LastName_Resume”.
6. Show you got the right background. Internships, projects, anything to prove you can handle a Data Science job. Numbers help – “improved model by 15%” tells em you get results.
7. Use bullet points, not paragraphs. Easier to scan.
8. Show off certifications and schoolin’. DataCamp, Coursera courses, a math/CS degree – make em shine! 9. Nix the images and logos. Recruiters tech can’t handle em.
10. List technical skills first. Python, R, SQL – they wanna see you have these specifically.
11. Check for typos! Sloppy resumes might get tossed by the robot gatekeepers.
12. Test it out first. Free online tools can scan your resume before you submit to catch issues.
Follow this advice and you’ll be all set to pass the ATS recruiters and get that interview!
Tips for acing the job interview:-
Do’s:
– Look into the company and the stuff they need help with.
– If you don’t get something, ask them to explain More.
– Walk them through how you think about fixing problems.
– Use real examples from past work to show your skills.
– Stay calm and confident. Work through problems slowly, even if you aren’t sure.
Don’ts:
– Don’t guess if you aren’t sure. Explain your thinking.
– Keep your answers simple and clear.
– Remember to talk about teamwork, communication, and problem fixing.
– Take your time to think before answering.
– Ask good questions to show you care about the job and team.
Eligibility / Qualification:-
- Be awesome at analyzing stuff and catching small mistakes
- Know your way around data software and tools
- Explain things clearly to work with others
- Keep finding ways to solve problems and make things better
What You Do:-
- Help gather and make sense of health data to check it’s right and follows the rules.
- Use AI tools to work faster and avoid mistakes looking at the data.
- Help get safety reports entered and followed up on time.
- Work with different teams to understand the data for research projects.
- Keep up with latest rules and best ways to oversee health products.
- Give detailed reports on what the data is showing to help decide next steps.
- Make sure privacy and security rules are followed with the data.
- Look for ways to streamline how data is managed.
- Help bring in new systems to improve data work.
- Regularly check work meets internal and external rules.
- Take training to keep up with latest AI and safety oversight advances.
- Help make standard routines for entering and processing cases.
- Help the company’s goal to make health products safer through careful data work.
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