Jonathan.Interviews ✓

YouTube @data-science-interviews Knowledge

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Subscribers

3.6K

🔥 Buzz rank

#12,264 ▼6246

Total Views

219.6K

Videos

269

Channel age

2 yrs

Est. monthly earnings

$33 – $64

📊 Content format · share of recent views

⚡ 15%

▶️ 85%

⚡ Shorts 15% · ▶️ Long-form 85% — brands place & price integrations differently across the two.

How we estimate

~12.2K recent monthly views × an estimated ad RPM of $3.19–$6.14 per 1,000 views — adjusted for Knowledge content. About 15% of recent views are Shorts, valued separately at the much lower Shorts ad rate. Yearly ≈ $396 – $768. Excludes sponsorships, memberships & merch. Full methodology →

Known for

5.1K views Data science interviews: SQL coding round

4.3K views Data science interviews: coding challenges are changing!

4.3K views $500k Staff Data Scientist Interview Problem: Probability and Python Coding

2.4K views New Data Science Coding Interviews with AI assistance allowed

📈 Performance

Typical video

482–812 views

Median 761 — the reliable floor a brand can expect, not just the headline average.

Upload rhythm

2× / week

Most active on Saturdays — consistent output keeps an engaged, sponsor-ready audience.

1.4K

Avg views / video

Avg likes

Avg comments

3.49%

Engagement rate

Uploads / week

816

Lifetime avg / video

Views / subscriber

15%

Shorts (recent views)

Engagement rate = (likes + comments) ÷ views across recent videos.

💡 Did you know?

🗓️Joined YouTube in 2024 — 2 years ago.

🏆Ranked #10,897 among all influencers on SocialDB.

🎯Top Knowledge influencer — #712 in the niche.

👁️Averages 1.4K views per video.

📤Posts about 2× per week.

💬3.49% engagement rate.

🚀Gained 40 subscribers in the last 7 days.

📱15% of recent uploads are Shorts.

🛡️ Audience credibility

76/100 Good

Est. 85% real, active audience · Low fake-follower risk.
Healthy view-through — roughly 39% of subscribers watch each video.
3.49% engagement — around average for this size.

Est. authentic audience

85%

Fake-follower risk

Low

Heuristic estimate from view-through, engagement vs size and recent growth — a screening signal, not a guarantee.

👥 Audience demographics

Estimated

Modeled from this creator's niche, platform & region — a planning estimate, not connected analytics.

Gender split

Male 54% Female 46%

Age · peak 18-24

13-178%

18-2432%

25-3431%

35-4416%

45+13%

Top geographies

United States34%
India11%
United Kingdom8%
Brazil6%
Indonesia5%

Likely interests

EntertainmentLifestyleTrending

💚 Brand affinity

Estimated

Brands Jonathan.Interviews's audience is most likely to respond to — from detected sponsorships in this niche.

Keeps

Nebula

Amazon Affiliate

Patreon

Coinbase

Robinhood

Shopify

Webull

Audible

Brilliant

About

I’m a senior data scientist with an expertise in causal inference methods offering career and resume advice for aspiring data professionals.

I have an economics PhD from the University of Michigan and data science offers from: Stripe, Airbnb, Amazon, Uber, Twitter, Robinhood, Agoda, and multiple startups.

I’m currently working as a digital nomad with Airbnb.