Data Scientist
Newton Research
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
Responsibilities
- Build production-level models and algorithms for media planning, audience, measurement, and yield problems
- Design and interpret experiments, and determine what results do and do not support
- Work with engineering to encode data science judgment into AI agents
- Develop evaluations and benchmarks to assess the correctness of agent analyses
Qualifications
- Master's or PhD in a quantitative field such as mathematics, physics, statistics, or computer science
- Strong foundation in data analysis, statistical modeling, causal inference, and machine learning
- Ability to evaluate models, causal experiments, and AI-generated analyses and identify limitations
- Proficiency in Python and data science libraries such as pandas and scikit-learn
- Strong SQL skills and experience with relational databases
- Ability to explain technical concepts to technical and non-technical audiences
- Experience shipping production code or using cloud data platforms is a plus
Benefits
- Equity
Skills mentioned
About Newton Research
Newton, the newest member of your analytics team.