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Join a fast-growing startup as a Data Scientist, developing AI models and algorithms for media planning and analysis.

Location
Greater Boston Area
Compensation
$135k–$165k/yr
Level
mid
Type
full time · On-site

Posted by employer 1 month ago

First seen on Joblaze 1 month ago

Last verified on the company career page 15 hours ago

Apply at Newton Research → Save job Scanned from newtonresearch.ai

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

Equity/Stock Options

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 about a month ago — first seen on Joblaze September 23, 2026. Last confirmed on Newton Research's careers page November 8, 2026.
  • Salary band is below the typical range for Data Science roles (median ~$178,250).
  • Starts above 43% of 21 comparable mid data science roles in United States that list SQL we track (median $140,000 across 16 companies). See SQL salary trends
  • SQL appears in 70.3% of 64 comparable mid data science roles in United States; scikit-learn appears in 3.1% of 64 comparable mid data science roles in United States.

Quick facts

Is the Data Scientist role remote?
No — this is an on-site role in Greater Boston Area.
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 Greater Boston Area.
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

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

Standard company text repeated across Newton Research's postings is omitted here.

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