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Newton Research

Data Scientist

Boston, MA · On-site

$160K - $180K/yr

Role Description This is a full-time Data Scientist role with Newton Research, Inc., working from our offices in Needham, MA. You will develop production-level models and algorithms, analyze data ...

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Infographic showing various Full Time Data Science Startup job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Boston, MA • On-site

Newton Research
See more jobs at Newton Researchexternal

$160K - $180K/yr

Full-time

Re-posted 23 days ago

Job description

Data Scientist

Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms. We are building the next generation of the closed loop media lifecycle, developing AI agents that leverage the latest in LLMs and generative AI with specialized knowledge. Our products generate actionable business insights for our customers and partners, assisting in each step of the media planning, buying and measurement lifecycle.

Role Description

This is a full-time Data Scientist role with Newton Research, Inc., working from our offices in Needham, MA. You will develop production-level models and algorithms, analyze data, design experiments, and interpret results. More importantly, you will work with engineering to encode those abilities into software and train Newton to think like a data scientist. The data science team is small, so your work reaches customers quickly and your judgment shapes the product. We value self-motivated individuals who collaborate well across teams and can present and defend findings to stakeholders.

Qualifications

  • Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a related discipline.
  • Strong foundation in data analysis, statistical modeling, and machine learning concepts.
  • Proficiency in Python, including data science libraries like pandas and scikit-learn, and writing code that ships to production.
  • Strong SQL and experience working with relational databases.
  • Experience with cloud data platforms such as Snowflake, BigQuery, Databricks, or Redshift.
  • Ability to evaluate a model, a causal experiment, or an AI-generated analysis and identify what it measures, where it fails, and how to verify it.
  • Ability to clearly explain technical concepts to both technical and non-technical audiences.
  • Experience in media, marketing, advertising, or related industries is a strong plus.

Base Salary Range: $160,000-$180,000 + Equity

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