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Salary: USD 175,000 - 195,000 / annual
Newton Research is a well-funded software start-up building the next generation of the closed-loop media lifecycle. The company develops AI agents leveraging large language models and generative AI with specialized domain knowledge to generate actionable business insights for customers and partners across media planning, buying, and measurement.
As a Senior Data Scientist, you will develop production-level models and algorithms, analyze data, design and interpret experiments, and work closely with engineering to encode data science capabilities into Newton's AI agents. You will own problems end-to-end, from scoping ambiguous questions to defending answers to customers. The data science team is small, meaning your work reaches customers quickly and your judgment directly shapes the product.
Key responsibilities include:
- Building production-level models and algorithms for media planning, audience, measurement, and yield problems
- Designing and interpreting experiments, including determining what results do and do not support
- Owning problems end-to-end, from scoping the question to defending the answer to customers
- Working with engineering to encode your judgment into Newton's agents
- Building evals and benchmarks to verify whether an agent's analysis is correct, not just plausible, and establishing methods the team will use as it grows
You will be expected to take ownership of open-ended, ambiguous problems, scope them yourself, and decide how they should be answered. The role values self-motivated individuals who collaborate well across teams and can present and defend findings to stakeholders.
Position is hybrid, based in Needham, MA, with 2-3 days per week in office.
REQUIREMENTS:
- Master's or PhD in a quantitative field (Mathematics, Physics, Statistics, Computer Science, or related discipline), or equivalent practical experience
- 5+ years of experience in data science or applied statistics
- Deep working knowledge of statistical modeling, causal inference, and machine learning, with judgment to know which applies to a given problem
- 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 (pandas, scikit-learn) and writing production-ready code
- Strong SQL and experience with cloud data platforms (Snowflake, BigQuery, Databricks, or Redshift)
- Ability to clearly explain technical concepts to both technical and non-technical audiences
- Experience in media, marketing, advertising, or related industries (preferred)
