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**Canam is Hiring a Data Scientist** Heads up, grads and students! Canam’s got a new data scientist gig opening up. They’re hosting a recruitment drive off campus for the job.
Job Description :-
| Company Name | Canam |
| Job Role | Data Scientist |
| Qualification | Any Degree |
| Experience | Fresher/Experienced |
| Batch | Any Batch |
| Location | Kolkata, WEST BENGAL, 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 data Scientist 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:-
– A College degree in Computer Science or Data Science
– Know programming languages well (Python, Excel, SQL)
– Understand relational databases
– Understand data modeling
– Know some open libraries and development frameworks
– Know some GCP services
– Know advanced statistics (segmentation, maxdiff, conjoint analysis)
– Speak and write English well to talk with English speaking coworkers
– Some experience in data mining
What You Do:-
– Find good info and set up ways to get it automatically
– Clean up and organize structured and unstructured data
– Dig through tons of info to spot trends and patterns
– Build models and machine learning to predict stuff
– Mix models together into ensemble modeling
– Show information clearly using charts and graphs
– Suggest solutions and ideas to help the business
– Work with engineers and product people
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