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v2.5 StablePikory 2026
Discovery Intelligence

#Data Scientist

Total Volume
2.6MLive
Discovery Velocity
Viral
Initial Sampling
12 Items
Hashtag StatsBased on recent activity
Total Posts
2.6M
Avg. Views
431,688
Best Performing Reel View
1,819,901 Views
Analyzed Creators
11
Performance Context
Initial Batch12 reels analyzed

Trending Feed

12 posts loaded

Comment ‘Projects’ to get 5 Data Scientist Project ideas and
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Comment ‘Projects’ to get 5 Data Scientist Project ideas and a plan 👩🏻‍💻 ♻️ repost to share with friends. Here is how to become a data scientist in 2026 and beyond 📈 the original video was 4 min Andi had to cut it down to 3 because instagram. Should I do a part 3v what are other skills that you would add to the list and let me know what I should cover in the next video 👩🏻‍💻 #datascientist #datascience #python #machinelearning #sql #ai

Confused between becoming a Data Scientist or an AI Engineer
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Confused between becoming a Data Scientist or an AI Engineer? Both roles are powerful—but require different skills, tools, and thinking. Comment “Roles” and I’ll send you a detailed roadmap for both 🚀 Got questions or feeling stuck? Drop your doubts in the comments—I’ll personally help you get clarity and move forward on your journey. #datascientist #datascience #ai #aiengineer #careergrowth

This is the EXACT order I would learn Data Science in 2026.
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This is the EXACT order I would learn Data Science in 2026. Hi 😊 my name is Dawn. I’ve been a Data Scientist at Meta, Patreon and other startups. And have coached 20+ clients into landing their dream Data jobs in the past year. 1️⃣ Learn SQL SQL is a must-have skill for every data professional because it’s the primary way you get data OUT of a database. It’s also a very easy coding language to learn, so I would start there. Use Interview Master to learn and practice SQL (link in bio): → Learn SQL: www.interviewmaster.ai/content/sql → Practice SQL: www.interviewmaster.ai/home 2️⃣ Start building Product Sense & Business Sense Product sense & business sense basically means you know how to use Data to solve real problems. I would start building this “soft” skill early because (1) it takes time to really learn this, and (2) as you’re learning Stats and Python, you already have context on how these might be used in the real world. I found the book: Cracking the PM Career to be super helpful before I landed my first Data Science job. 3️⃣ Learn Statistics How much Stats do you need for Data Science? Just the foundations, but you need to know it really really well. → Descriptive statistics → Common distributions → Probability and Bayes’ Theorem → Basic Machine Learning models → Experimentation concepts → A/B experiment design Check out Stanford’s Introduction to Statistics, which is free on Coursera. 4️⃣ Learn Python Python is the #1 skill for Data Scientists in 2025, but I put it 4th on this list because I find that it builds on skills 1-3. I learned Python on my own using DataCamp’s Python Data Fundamentals (link in bio). 5️⃣ Use AI-assisted coding tools Many data scientists are already using tools, like Claude Code & Cursor, to 2x their productivity. And also many companies are evaluating you on your use of AI during interviews. #datascience #datascientist

Where are all our data scientists at! 👀👇🏻

#young4stem #d
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Where are all our data scientists at! 👀👇🏻 #young4stem #datascience #job #reel #stem #computerscience

Here’s a roadmap to help you go from a software engineer to
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Here’s a roadmap to help you go from a software engineer to a data scientist 👩‍💻 👇 If you’re tired of writing vanilla apps and want to build ML systems instead, this one’s for you. Step 1 – Learn Python and SQL (not Java, C++, or JavaScript). → Focus on pandas, numpy, scikit-learn, matplotlib → For SQL: use LeetCode or StrataScratch to practice real-world queries → Don’t just write code—learn to think in data Step 2 – Build your foundation in statistics + math. → Start with Practical Statistics for Data Scientists → Learn: probability, hypothesis testing, confidence intervals, distributions → Brush up on linear algebra (vectors, dot products) and calculus (gradients, chain rule) Step 3 – Learn ML the right way. → Do Andrew Ng’s ML course (Deeplearning.ai) → Master the full pipeline: cleaning → feature engineering → modeling → evaluation → Read Elements of Statistical Learning or Sutton & Barto if you want to go deeper Step 4 – Build 2–3 real, messy projects. → Don’t follow toy tutorials → Use APIs or scrape data, build full pipelines, and deploy using Streamlit or Gradio → Upload everything to GitHub with a clear README Step 5 – Become a storyteller with data. → Read Storytelling with Data by Cole Knaflic → Learn to explain your findings to non-technical teams → Practice communicating precision/recall/F1 in simple language Step 6 – Stay current. Never stop learning. → Follow PapersWithCode (it's now sun-setted, use huggingface.co/papers/trending, ArXiv Sanity, and follow ML practitioners on LinkedIn → Join communities, follow researchers, and keep shipping new experiments ------- Save this for later. Tag a friend who’s trying to make the switch. [software engineer to data scientist, ML career roadmap, python for data science, SQL for ML, statistics for ML, data science career guide, ML project ideas, data storytelling, becoming a data scientist, ML learning path 2025]

The best projects serve a real use case

Comment “data” for
617,517

The best projects serve a real use case Comment “data” for all the links and project descriptions #tech #data #datascience #ml #explore

Data Science Roadmap from a Googler❤️

Recently I spoke to s
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Data Science Roadmap from a Googler❤️ Recently I spoke to several friends here in the Bay Area, one of them is a data scientist at google, some are data scientists at walmart, and a few others working in California! Based on their 4-10 years of experience in the field, I have designed a beginner friendly roadmap: ✅Covering 4 Month Timeline ✅Topics to cover and their resources ✅Frequently asked questions #datascience #google #softwareengineer #indiansinusa #jobsearch

How much does a DATA SCIENTIST make? #viral #reels #techjobs
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How much does a DATA SCIENTIST make? #viral #reels #techjobsin2minutes #amazon

Data Scientist Roadmap 
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#reels #viral #trendingree
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Data Scientist Roadmap . . . . . #reels #viral #trendingreels #newcollection #viralvideos #reelsvideo #reelsinstagram #shorts #trending #viralreels

Data Scientist Salary in 2026 💸📈
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demand is rising.
compa
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Data Scientist Salary in 2026 💸📈 . demand is rising. companies are investing big. and data scientists? they’re becoming the backbone of every ai-driven decision. 2026 is the year where skills = salary. master data + ai → unlock opportunities across every industry. it’s one of the smartest career moves right now. . { data scientist salary, ai careers, data jobs 2026, career growth, tech jobs } . #datascience #datajobs #aicareers #salarytrends #futureofwork #techcareers #machinelearning #upskillnow #career2026 #intellipaat

DATA SCIENCE ROADMAP FROM GOOGLE DATA SCIENTISTS
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#d
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DATA SCIENCE ROADMAP FROM GOOGLE DATA SCIENTISTS . . . #datascience #google #nodaysoff #AI #sql #python #roadmap #cheatsheet

If you want to crack Data Science jobs in the next 30 days,
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If you want to crack Data Science jobs in the next 30 days, here’s the three step process which you will follow which literally no one talks about. . . . #datascience #data #interview

Top Creators

Most active in #data-scientist

Semantic Clustering

Reels Graph Intelligence.

Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #data-scientist ecosystem.

Strategic Implementation

Our semantic engine has identified these specific pattern clusters as high-affinity matches for #data-scientist. Integrated usage of #data-scientist with strategic Reels tags like #data scientist salary 2024 and #data scientist tools and techniques is statistically linked to a significant increase in initial Reels discovery velocity.

In-Depth Hashtag Analysis: #data-scientist

Expert Review • June 4, 2026 • Based on 12 Reels

Executive Overview

#data-scientist is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 5,180,260 views— demonstrating strong content velocity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @shailjamishra__ with 1,819,901 total views. The hashtag's semantic network includes 100 related keywords such as #data scientist salary 2024, #data scientist tools and techniques, #data scientist salary 2026, indicating its position within a broader content cluster.

Avg. Views / Reel
431,688
5,180,260 total
Viral Ceiling
1,819,901
Best Performing Reel
Unique Creators
8
12 reels analyzed

Viewership & Reach Analysis

The 12 reels in this dataset have generated a combined 5,180,260 views, translating to an average of 431,688 views per reel. This strong average viewership suggests healthy algorithmic distribution. Reels using this hashtag are reliably reaching audiences interested in this niche.

Top Performing Reel

The highest-performing reel in this dataset received 1,819,901 views. This viral outlier performance is 422% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.

Content Overview & Top Creators

The #data-scientist ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @shailjamishra__, has contributed 1 reel with a total viewership of 1,819,901. The top three creators — @shailjamishra__, @the.datascience.gal, and @vee_daily19 — together account for 77.7% of the total views in this dataset. The semantic network of #data-scientist extends across 100 related hashtags, including #data scientist salary 2024, #data scientist tools and techniques, #data scientist salary 2026, #data scientist kaise bane. Creators often use these tags together to reach overlapping audiences.

Discoverability & Reach Potential

The discoverability metrics for #data-scientist indicate an active content ecosystem. The average of 431,688 views per reel demonstrates consistent audience reach. For creators using #data-scientist, posting consistently with trending audio and relevant angles will help you get noticed.

Analyst Verdict

#data-scientist demonstrates the hallmarks of a well-performing Instagram hashtag. With an average of 431,688 views per reel, the viewership metrics position this hashtag as a reliable reach driver. Creators like @shailjamishra__ and @the.datascience.gal are leading the charge, setting viewership benchmarks for the community.

Frequently Asked Questions

Everything about #data-scientist on Instagram

Frequently Asked Questions

How popular is the #data scientist hashtag?

Currently, #data scientist has over 2.6M public posts on Instagram. It is a highly active community focus area for creators and brands.

Can I download reels from #data scientist anonymously?

Yes, Pikory allows you to view and download public reels tagged with #data scientist without an account and without notifying the content creators.

What are the most related tags to #data scientist?

Based on our semantic analysis, tags like #scientists, #dataing, #data scientists are frequently used alongside #data scientist.