Data Scientist
Join a fast-growing startup as a Data Scientist, developing AI models and algorithms for media planning and analysis.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Build production-level models and algorithms
- Design and interpret experiments
- Work with engineering to encode judgment into agents
- Contribute to evals and benchmarks
Must have
- Master's or PhD in a quantitative field
- Strong foundation in data analysis and statistical modeling
- Proficiency in Python and data science libraries
- Strong SQL and experience with relational databases
Nice to have
- Experience writing code that ships to production
- Experience with cloud data platforms
AI in the day-to-day
Developing AI agents that leverage the latest in LLMs and generative AI.
Requirements
- Education
- Master's degree
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Data Scientist at Newton Research focuses on developing production-level models and algorithms to enhance media planning and measurement processes. Key skills include a strong foundation in statistical modeling, machine learning, and proficiency in Python and SQL. This position is ideal for candidates with advanced degrees in quantitative fields who are comfortable working in a collaborative environment and can effectively communicate complex findings to diverse stakeholders. The small data science team allows for rapid impact on product development and customer insights.
Joblaze insights
- Listed yesterday — first seen on Joblaze September 23, 2026. Last confirmed on Newton Research's careers page September 23, 2026.
- This exact title is also open at 1 other location at Newton Research: Greater Boston Area.
- Salary band is below the typical range for Data Science roles (median ~$174,500).
- Starts above 58% of 33 comparable mid data science roles in United States that list Python we track (median $125,000 across 21 companies). See Python salary trends
- Python appears in 77% of 61 comparable mid data science roles in United States; scikit-learn appears in 4.9% of 61 comparable mid data science roles in United States.
Quick facts
- Is the Data Scientist role remote?
- No — this is an on-site role in Needham, MA, United States.
- What's the salary range?
- Newton Research lists $135,000–$165,000 for this role.
- Where is the role based?
- Newton Research is hiring for this position in Needham, MA, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Python, SQL, pandas, scikit-learn.
- What seniority level is this role?
- Newton Research targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Data Scientist role at Newton Research.
From the original posting
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