Industry Data Trends in NYC Start-ups

Posted on Nov 11, 2020
The skills I demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.


In this project, data was scraped from the website, a job search site for NYC based start-ups and tech companies.

The site contains  almost 3,500 unique company listings. Because new industry trends and technologies are often first tested out in the start-up community, the information should be useful for venture capital investors looking for new investment opportunities, job seekers trying to determine which sector to target, and start-up companies looking to hire new employees.   Information scraped includes company name, address, founding date, industry sector, description, total jobs available, total employees, and investor funding  


Top Sectors

Industry Data Trends in NYC Start-ups

The chart above shows the top job sectors by the total number of employees. eCommerce and Fintech are the top tech employers in the region.  More recently, the trend is towards the formation of companies in Artificial Intelligence and Healthtech. 

Industry Data Trends in NYC Start-ups

Industry Data Trends in NYC Start-ups

A parameter "growth rate" was defined as the total number of employees divided by the number of years the company has been in existence.  As shown in the figures above, the top sector for growth rate is Natural Language Processing.  This is dominated by companies formed during 2019.  The plot below shows that the number of job listings also correlates with growth rate. 

Population Of Company

One interesting question is whether the job site data can say anything about the natural lifetime of a start-up company.  It is known that many companies follow an S-shaped growth curve, where growth increases initially, but then flattens out due to market saturation and increased competition.

Looking at the start-up company data, we can see that this is indeed the case.  The plot below shows the median number of employees versus the year the start-up was founded.  Employee number increases as the date decreases from 2020 to 2010.  However, companies formed before 2010 show a much more scattered distribution of employee numbers.  Over the first ten years of a companies life, a stable trajectory of growth is observed, but beyond this companies are split between those that fail, and those that continue to succeed. 


In conclusion, data from start-up company listings provides size and growth information on tech sectors in NYC.  The insights here should be useful for job seekers, employers looking for workers, and investors identifying top trends.  Future analysis possibilities include NLP on company descriptions, companies by location, desirability of company perks, and other ”Builtin” city sites.

About Author

Related Articles

Leave a Comment

No comments found.

View Posts by Categories

Our Recent Popular Posts

View Posts by Tags

#python #trainwithnycdsa 2019 2020 Revenue 3-points agriculture air quality airbnb airline alcohol Alex Baransky algorithm alumni Alumni Interview Alumni Reviews Alumni Spotlight alumni story Alumnus ames dataset ames housing dataset apartment rent API Application artist aws bank loans beautiful soup Best Bootcamp Best Data Science 2019 Best Data Science Bootcamp Best Data Science Bootcamp 2020 Best Ranked Big Data Book Launch Book-Signing bootcamp Bootcamp Alumni Bootcamp Prep boston safety Bundles cake recipe California Cancer Research capstone car price Career Career Day citibike classic cars classpass clustering Coding Course Demo Course Report covid 19 credit credit card crime frequency crops D3.js data data analysis Data Analyst data analytics data for tripadvisor reviews data science Data Science Academy Data Science Bootcamp Data science jobs Data Science Reviews Data Scientist Data Scientist Jobs data visualization database Deep Learning Demo Day Discount disney dplyr drug data e-commerce economy employee employee burnout employer networking environment feature engineering Finance Financial Data Science fitness studio Flask flight delay gbm Get Hired ggplot2 googleVis H20 Hadoop hallmark holiday movie happiness healthcare frauds higgs boson Hiring hiring partner events Hiring Partners hotels housing housing data housing predictions housing price hy-vee Income Industry Experts Injuries Instructor Blog Instructor Interview insurance italki Job Job Placement Jobs Jon Krohn JP Morgan Chase Kaggle Kickstarter las vegas airport lasso regression Lead Data Scienctist Lead Data Scientist leaflet league linear regression Logistic Regression machine learning Maps market matplotlib Medical Research Meet the team meetup methal health miami beach movie music Napoli NBA netflix Networking neural network Neural networks New Courses NHL nlp NYC NYC Data Science nyc data science academy NYC Open Data nyc property NYCDSA NYCDSA Alumni Online Online Bootcamp Online Training Open Data painter pandas Part-time performance phoenix pollutants Portfolio Development precision measurement prediction Prework Programming public safety PwC python Python Data Analysis python machine learning python scrapy python web scraping python webscraping Python Workshop R R Data Analysis R language R Programming R Shiny r studio R Visualization R Workshop R-bloggers random forest Ranking recommendation recommendation system regression Remote remote data science bootcamp Scrapy scrapy visualization seaborn seafood type Selenium sentiment analysis sentiment classification Shiny Shiny Dashboard Spark Special Special Summer Sports statistics streaming Student Interview Student Showcase SVM Switchup Tableau teachers team team performance TensorFlow Testimonial tf-idf Top Data Science Bootcamp Top manufacturing companies Transfers tweets twitter videos visualization wallstreet wallstreetbets web scraping Weekend Course What to expect whiskey whiskeyadvocate wildfire word cloud word2vec XGBoost yelp youtube trending ZORI