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Tech Careers in New York, United States

Data Scientist in New York: Salary & Job Market Guide

New York City is the world's financial capital and one of the deepest, most competitive job markets on earth, spanning finance, media, tech, fashion, and healthcare.

Estimated mid-level salary: $138,000 - $196,000

Estimates shown in Canadian dollar equivalents for comparison across cities. Local offers in New York are typically made in USD.

The New York Job Market for Data Scientists

  • Global headquarters for finance, banking, and asset management
  • Second-largest tech workforce in the US after the Bay Area
  • Media, advertising, and fashion capitals concentrated in Manhattan
  • Salaries among the highest globally, offset by a high cost of living

Top hiring industries in New York: Finance, Tech, Media, Healthcare, Fashion. For a data scientist, that means tailoring your resume to the sectors doing the most local hiring, and using the exact skill keywords those employers screen for.

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About the Data Scientist Role

Data scientists turn raw data into predictions and decisions using statistics, machine learning, and domain knowledge. They sit at the intersection of engineering, analytics, and business strategy, and are core hires at banks, retailers, and tech companies alike.

Skills New York employers look for

  • Python and pandas
  • Statistics and experimentation
  • Machine learning (scikit-learn, XGBoost)
  • SQL
  • Data visualization
  • Communication and storytelling
  • A/B testing

For the full career path, salary bands by seniority, and complete FAQs, see the main Data Scientist career guide.

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Data Scientist in New York: FAQs

How much does a Data Scientist make in New York?
A mid-level Data Scientist in New York typically earns between $138,000 and $196,000 per year (shown in Canadian dollar equivalents for comparison; local offers are usually made in USD). Senior professionals and leads earn meaningfully more, and pay varies with company size and specialization.
What is the job market like for a Data Scientist in New York?
New York City is the world's financial capital and one of the deepest, most competitive job markets on earth, spanning finance, media, tech, fashion, and healthcare. Key strengths of the local market include: global headquarters for finance, banking, and asset management; second-largest tech workforce in the us after the bay area. The strongest hiring sectors are Finance, Tech, Media.
What is the difference between a data scientist and a data analyst?
Analysts primarily describe what happened using SQL, dashboards, and reporting. Data scientists go further into why it happened and what will happen next, building statistical models and machine learning systems. Many data scientists start as analysts and add modelling and programming depth over time.
Which portfolio projects impress data science hiring managers?
End-to-end projects on messy, real-world data beat Kaggle leaderboard entries. Show that you framed a business question, cleaned ugly data, chose a sensible model, and communicated the result. One deployed project with a write-up is worth more than ten notebooks.

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