Data Scientist

Newton Research•Needham, MA
•$135,000 - $165,000•Onsite

About The Position

Newton Research is a fast-growing software startup building a closed-loop media lifecycle. Its products use AI agents powered by large language models, generative AI, and specialized knowledge to generate actionable business insights across media planning, buying, and measurement. The Data Scientist will work full-time from Newton Research’s offices in Needham, Massachusetts. The role develops production-level models and algorithms, analyzes data, designs experiments, and interprets results. The scientist will work with engineering to incorporate data-science capabilities and judgment into Newton’s agents. As part of a small team, the role’s work reaches customers quickly and helps shape the product. The company seeks self-motivated collaborators who can present and defend findings to stakeholders.

Requirements

  • Master’s or PhD in a quantitative field such as mathematics, physics, statistics, computer science, or a related discipline.
  • Strong foundation in data analysis, statistical modeling, causal inference, and machine learning concepts.
  • Ability to evaluate a model, causal experiment, or AI-generated analysis and identify what it measures, where it fails, and how to verify it.
  • Proficiency in Python, including data-science libraries such as pandas and scikit-learn.
  • Strong SQL skills and experience working with relational databases.
  • Ability to clearly explain technical concepts to technical and non-technical audiences.

Nice To Haves

  • Experience writing code that ships to production.
  • Experience with cloud data platforms such as Snowflake, BigQuery, Databricks, or Redshift.

Responsibilities

  • Build production-level models and algorithms for media planning, audience, measurement, and yield problems.
  • Design and interpret experiments, including determining what results do and do not support.
  • Work with engineering to encode data-science judgment into Newton’s agents.
  • Contribute to evaluations and benchmarks that assess whether an agent’s analysis is correct, not merely plausible.
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