Pay
In line with similar jobs
$135K–$165K against $118K–$193K, the middle half of what similar US postings state.
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Data Scientist
Greater Boston Area
Live, first seen by us 40 days ago- Pay
$135,000–165,000/year · BaseAnnual period assumed — pay source
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
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
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
Read the full posting
What you’ll work on
Full postingThis is a full-time Data Scientist role with Newton Research, Inc., working from our offices in Needham, MA.
Build production-level models and algorithms for media planning, audience, measurement and yield
Design and interpret experiments, including what results do and do not support
Work with engineering to encode your judgment into Newton's agents
Contribute to evals and benchmarks that check whether agent analysis is correct
From the employer’s posting
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.
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
What you’ll bring
All qualificationsCore experience
- Master's or PhD in a quantitative field such as statistics, math, physics or computer science
- Strong foundation in data analysis, statistical modeling, causal inference, and machine learning
- Proficiency in Python, including pandas and scikit-learn
- Strong SQL and experience with relational databases
- Ability to evaluate models, causal experiments, and AI-generated analysis
Preferred experience
- Experience writing code that ships to production, or with cloud data platforms such as Snowflake, BigQuery, Databricks, or Redshift, is a plus
Qualification wording
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
Proficiency in Python, including data science libraries like pandas and scikit-learn
Strong SQL and experience working with relational databases
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
Experience writing code that ships to production, or with cloud data platforms such as Snowflake, BigQuery, Databricks, or Redshift, is a plus
Education & alternatives
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
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 25, 202640 days ago
- Recorded sightings
- 8
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Jun 2, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 40
Similar jobs usually come down between day 7 and day 55.
From 9,990 similar postings that came down. Coming down is not always a hire.
Newton Research is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 50% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- Databricks
- Redshift
- Snowflake
- pandas
- scikit-learn
Where the posting names them
- 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
- 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
- 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
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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
- Location & working pattern
Greater Boston Area
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.