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Tech Careers in Boston, United States

Data Scientist in Boston: Salary & Job Market Guide

Boston leads the world in biotech and higher education, with MIT and Harvard feeding a dense ecosystem of life sciences, robotics, and deep-tech companies.

Estimated mid-level salary: $128,000 - $182,000

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

The Boston Job Market for Data Scientists

  • World's top biotech cluster centred on Kendall Square
  • Robotics and deep-tech startups spun out of MIT
  • Major asset management firms including Fidelity and State Street
  • Hospitals and universities provide stable, prestige employment

Top hiring industries in Boston: Biotech, Education, Finance, Robotics, Healthcare. 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 Boston 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 Boston: FAQs

How much does a Data Scientist make in Boston?
A mid-level Data Scientist in Boston typically earns between $128,000 and $182,000 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 Boston?
Boston leads the world in biotech and higher education, with MIT and Harvard feeding a dense ecosystem of life sciences, robotics, and deep-tech companies. Key strengths of the local market include: world's top biotech cluster centred on kendall square; robotics and deep-tech startups spun out of mit. The strongest hiring sectors are Biotech, Education, Finance.
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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