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Application Tracker
Data Science Job Application Tracker
Manage ML engineer, data scientist, and analyst applications in one board. Track technical screens, take-home assignments, and offer details with Applyvo.
Tracking tips
How to run a smarter job search
- ✓Log the technical assessment type (take-home, live coding, case study) on each card so you can prepare the right materials before each round.
- ✓Data science JDs are stack-specific. Run your resume through the ATS checker to confirm Python, SQL, and key ML frameworks match the exact terms used in each posting.
- ✓Note whether a role is focused on ML, analytics, or data engineering — these require different interview preparation and help you spot where you're getting traction.
How it works
One board, every stage
Move applications through a clear pipeline — so nothing slips and every follow-up lands on time.
Track every interaction
Log interviews, contacts, and notes on each card. Move it through Saved → Applied → Interviewing → Offer.
Follow up on time
Set follow-up reminders and get a score for every application so you always know what to do next.
Take control of your job search
One board for every application, contact, and follow-up — no spreadsheets required.
FAQ
Common questions
How do I stay organised during a data science job search with take-home assignments?
Log each take-home deadline on the card and treat it like a project: note the time invested, the approach you took, and the feedback received. This builds a pattern you can improve over time.
Does ATS filtering matter for data science roles?
Heavily. Data science JDs contain dense lists of tools and techniques. If your resume doesn't mention the specific libraries and methods in the posting, it may be filtered before a hiring manager sees it.
How many data science applications should I send per week?
3–7 highly tailored applications per week is more effective than blasting dozens of generic ones. Each take-home assignment also takes time — tracking prevents you from overcommitting.
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