Newton Research
Data Scientist
Requirements
Requires a Master's or PhD in a quantitative field such as Mathematics, Physics, Statistics, or Computer Science. Candidates must possess strong foundations in statistical modeling, causal inference, machine learning, and proficiency in Python and SQL.
Responsibilities
Develop production-level models and algorithms to support media planning, audience measurement, and yield optimization. Collaborate with engineering teams to integrate these models into software agents and establish benchmarks for performance evaluation.
About the role
Data Scientist Greater Boston Area Company Description 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. Responsibilities Build production-level models and algorithms for media planning, audience, measurement and yield problems Design and interpret experiments, including deciding what a result does and does not support Work with engineering to encode your judgment into Newton's agents Contribute to the evals and benchmarks that tell us whether an agent's analysis is correct, not just plausible Qualifications 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, a causal experiment, or an AI-generated analysis and identify what it measures, where it fails, and how to verify it Proficiency in Python, including data science libraries like pandas and scikit-learn Strong SQL and experience working with relational databases Ability to clearly explain technical concepts to both technical and non-technical audiences Experience writing code that ships to production, or with cloud data platforms such as Snowflake, BigQuery, Databricks, or Redshift, is a plus Base Salary Range: $135,000-$165,000 + Equity