Auto apply to

data/AI jobs while

you work.

AI applies to high-match data and AI roles for you so

your energy goes into interview prep, not filling out the

same forms a hundred times.

Auto apply to

data/AI jobs while you work.

AI applies to high-match data and AI roles for you so your energy goes into interview prep, not filling out the same forms a hundred times.

The math behind cold applications

If you’re manually applying to

every role, the numbers are

stacked against you.

manual by hand
Typical cold-apply interview rate (no referrals)0.1–1%
At 1% → applications per interview100
At 0.1% → applications per interview1,000
Time per application10–30 min
Your life, per interview17–250 hrs
auto apply done for you
High-match applications / monthup to 800
Your setup time, once5–10 min
Ongoing effort from you~0
Where your hours go insteadinterviews
Your life, per interviewminutes

That’s why doing this manually is such a brutal way to play the game. Auto Apply exists to take that part off your plate.

The math behind cold applications

If you’re manually applying to

every role, the numbers are

stacked against you.

manual by hand
Typical cold-apply interview rate (no referrals)0.1 - 1%
At 1% → applications per interview100
At 0.1% → applications per interview1,000
Time per application10–30 min
Your life, per interview17–250 hrs
auto apply done for you
High-match applications / monthup to 800
Your setup time, once5–10 min
Ongoing effort from you~0
Where your hours go insteadinterviews
Your life, per interviewminutes

That’s why doing this manually is such a brutal way to play the game. Auto Apply exists to take that part off your plate.

What this has done for data professionals like you

Real results

“Got 3 interviews in 3 days” - Latifa

“23 interviews this in total” - Ahmad

The auto apply works! - Deahyun

HOW IT WORKS 3 STEPS

Set it up once. We run it every week.

STEP 01

Tell us your targets

Share your target roles, locations, and salary range, and upload your resume. Takes about 5–10 minutes.

STEP 02

We configure your campaign

Our team sets up your Auto Apply campaign using filters built specifically for data and AI roles.

STEP 03

We apply, you get reports

We apply to high-match roles every week and send you a regular interview report. You focus on prep.

HOW IT WORKS 3 STEPS

Set it up once. We run it every week.

STEP 01

Tell us your targets

Share your target roles, locations, and salary range, and upload your resume. Takes about 5–10 minutes.

STEP 02

We configure your campaign

Our team sets up your Auto Apply campaign using filters built specifically for data and AI roles.

STEP 03

We apply, you get reports

We apply to high-match roles every week and send you a regular interview report. You focus on prep.

Results & Social Proof

The first 5 months, by the numbers.

94
interviews from 17 people
1
direct offer already accepted
85%
get ≥1 interview per month
2–3 wks
to first interview, once tuned

... some users see 2–3 interviews within the first week. Built on a proven auto-apply engine, configured specifically for data roles.

What this has done for data professionals like you

Real results

“Got 3 interviews in 3 days” - Latifa

“23 interviews this in total” - Ahmad

The auto apply works! - Deahyun

Results & Social Proof

The first 5 months, by the numbers.

73
interviews from 17 people
1
direct offer already accepted
85%
get ≥1 interview per month
2–3 wks
to first interview, once tuned

... some users see 2–3 interviews within the first week. Built on a proven auto-apply engine, configured specifically for data roles.

Who it's for · and who it isn't

Read this before you buy. We'd rather

you self-select out than be disappointed.

This works best if…

You already work in data and want more shots, faster.

  • You have real data experience (1+ year)Analyst, Scientist, Engineer, Analytics Engineer, BI, or similar — actual work, not just a course.
  • You're busyYou'd rather spend limited time prepping for interviews and doing your job than clicking "Apply" a thousand times.

Limited fit (read this before you buy)

You can still use Auto Apply here, but you should expect fewer interviews and a slower ramp:

  • Entry-levelFewer postings to match against.
  • Very niche roles or tiny geographic focusExample: "Only this one city, only this one narrow industry, only staff-level roles." Fewer postings = fewer shots.
  • Big career pivots with little proof on your resumeExample: trying to go from general analyst to ML engineer with almost no ML projects listed. The system can only amplify what's actually there.
  • You need visa sponsorship in markets where almost nobody sponsorsIf there are very few sponsoring employers for your profile, auto-applying into that reality will still be tough.

In these cases, treat Auto Apply as a way to get some extra opportunities, not a guarantee of constant interviews.

This is not for you if…

More applications won't fix these.

  • You have no real data experience yetPure beginners and brand-new grads fall here.
  • You're targeting roles you have no relevant experience forThe system applies to what you tell it. Unrealistic targeting → unrealistic results.
  • It's FAANG-or-nothingThose few ultra-competitive roles are won through networking, not volume.
  • You expect it to fix an inflated resumeIf your resume doesn't honestly reflect your skills, more applications won't solve that.
  • You want executive (VP / C-suite) rolesThose are filled through relationships and search firms, not online applications.

The simple rule

One honest test.

If you'd have a real shot at your target roles by applying manually, this multiplies that more interviews, far less effort.

If you don't have a real shot yet because your background, resume, or targets are off, Auto Apply can't manufacture a career you don't have. Build the skills and story first, then turn this on.

Who it's for · and who it isn't

Read this before you buy. We'd rather you

self-select out than be disappointed.

This works best if…

You already work in data and want more shots, faster.

  • You have real data experience (1+ year)Analyst, Scientist, Engineer, Analytics Engineer, BI, or similar — actual work, not just a course.
  • You're busyYou'd rather spend limited time prepping for interviews and doing your job than clicking "Apply" a thousand times.

Limited fit (read this before you buy)

You can still use Auto Apply here, but you should expect fewer interviews and a slower ramp:

  • Entry-levelFewer postings to match against.
  • Very niche roles or tiny geographic focusExample: "Only this one city, only this one narrow industry, only staff-level roles." Fewer postings = fewer shots.
  • Big career pivots with little proof on your resumeExample: trying to go from general analyst to ML engineer with almost no ML projects listed. The system can only amplify what's actually there.
  • You need visa sponsorship in markets where almost nobody sponsorsIf there are very few sponsoring employers for your profile, auto-applying into that reality will still be tough.

In these cases, treat Auto Apply as a way to get some extra opportunities, not a guarantee of constant interviews.

This is not for you if…

More applications won't fix these.

  • You have no real data experience yetPure beginners and brand-new grads fall here.
  • You're targeting roles you have no relevant experience forThe system applies to what you tell it. Unrealistic targeting → unrealistic results.
  • It's FAANG-or-nothingThose few ultra-competitive roles are won through networking, not volume.
  • You expect it to fix an inflated resumeIf your resume doesn't honestly reflect your skills, more applications won't solve that.
  • You want executive (VP / C-suite) rolesThose are filled through relationships and search firms, not online applications.

The simple rule

One honest test.

If you'd have a real shot at your target roles by applying manually, this multiplies that more interviews, far less effort.

If you don't have a real shot yet because your background, resume, or targets are off, Auto Apply can't manufacture a career you don't have. Build the skills and story first, then turn this on.

faq

Questions people ask before starting.

How many jobs per month?

Up to 800

What platforms (LinkedIn, ATS, etc.)?

It applies directly on real company career sites and ATS platforms; Workday, Greenhouse, Lever, iCIMS, and the other major systems, not LinkedIn or Indeed aggregators. Applications go straight to the source, usually within 24 hours of a role being posted.

Can I pause or cancel?

- You can cancel any time.

- When you cancel, new applications stop within 1 business day.

- Your billing stops at the end of your current month. No partial refunds.

“How is this different from Simplify / Jobright / other AI tools?”

Those are browser extensions that auto-fill forms while you sit there and click. This runs on its own in the background, applies on real ATS platforms like Workday, and matches based on interview likelihood, not just keywords

“Will it apply to jobs I’m not qualified for?”

We set the match threshold together at the start. You decide the bar. Anything below it never gets touched, and you can blacklist any company or industry you don't want to see.

“What about quality vs quantity?”

It's not quality vs quantity. It's quality applied at a pace you can't sustain manually. A strong application sent within 24 hours of a posting beats a perfectly tailored one that arrives a week late.

“Can’t I just do this myself?”

You can. The question isn't whether you can fill out forms. It's whether your time is better spent on Workday at 11pm or on networking and prep. Most people who try to do both end up doing neither well.

“How fast will I see results?”

Most clients see their first interview within about two weeks. The first few days are setup and calibration. After that, applications run at full pace.

Not sure if this is a fit? Book a call and we'll tell you honestly.

faq

Questions people ask before starting.

How many jobs per month?

Up to 800

What platforms (LinkedIn, ATS, etc.)?

It applies directly on real company career sites and ATS platforms; Workday, Greenhouse, Lever, iCIMS, and the other major systems, not LinkedIn or Indeed aggregators. Applications go straight to the source, usually within 24 hours of a role being posted.

Can I pause or cancel?

- You can cancel any time.

- When you cancel, new applications stop within 1 business day.

- Your billing stops at the end of your current month. No partial refunds.

“How is this different from Simplify / Jobright / other AI tools?”

Those are browser extensions that auto-fill forms while you sit there and click. This runs on its own in the background, applies on real ATS platforms like Workday, and matches based on interview likelihood, not just keywords

“Will it apply to jobs I’m not qualified for?”

We set the match threshold together at the start. You decide the bar. Anything below it never gets touched, and you can blacklist any company or industry you don't want to see.

“What about quality vs quantity?”

It's not quality vs quantity. It's quality applied at a pace you can't sustain manually. A strong application sent within 24 hours of a posting beats a perfectly tailored one that arrives a week late.

“Can’t I just do this myself?”

You can. The question isn't whether you can fill out forms. It's whether your time is better spent on Workday at 11pm or on networking and prep. Most people who try to do both end up doing neither well.

“How fast will I see results?”

Most clients see their first interview within about two weeks. The first few days are setup and calibration. After that, applications run at full pace.

Not sure if this is a fit? Book a call and we'll tell you honestly.

Okay, I'm in! start Auto Apply.

Set up your targets in 10 minutes. We do the applying. You do the interviews.

Okay, I'm in! start Auto Apply.

Set up your targets in 10 minutes. We do the applying. You do the interviews.

COPYRIGHT © 2026 DATASHIP.

ALL RIGHTS RESERVED.

Okay, I'm in! start Auto Apply.

Set up your targets in 10 minutes. We do the applying. You do the interviews.