Senior Data Scientist
Join a fast-growing startup as a Senior Data Scientist, developing AI models and algorithms in a hybrid work environment.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Build production-level models and algorithms for media planning
- Design and interpret experiments
- Own problems end to end
- Work with engineering to encode judgment into agents
- Build evals and benchmarks for agent analysis
Must have
- Master's or PhD in a quantitative field
- 5+ years of experience in data science or applied statistics
- Deep working knowledge of statistical modeling, causal inference and machine learning
- Proficiency in Python and data science libraries
- Strong SQL and experience with cloud data platforms
Nice to have
- Experience in media, marketing, advertising, or related industries
Practical constraints
- In office 2-3 days per week
AI in the day-to-day
Developing AI agents that leverage the latest in LLMs and generative AI.
Requirements
- Experience
- 5+ years
- Education
- Master's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the Senior Data Scientist role at Newton Research, the individual will focus on developing production-level models and algorithms to address complex media planning and measurement challenges. Key skills include expertise in statistical modeling, machine learning, and proficiency in Python and SQL, with a strong emphasis on evaluating and interpreting data. This position is ideal for experienced professionals with a background in data science and a collaborative mindset, as the small team structure allows for significant impact on product development. Newton Research, a rapidly growing startup, values self-motivated individuals who can navigate ambiguous problems and communicate findings e
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 23, 2026. Last confirmed on Newton Research's careers page November 10, 2026.
- Salary band is in line with the typical range for Data Science roles (median ~$179,000).
- Starts above 51% of 61 comparable senior data science roles in United States that list Python we track (median $174,000 across 38 companies). See Python salary trends
- Python appears in 70.1% of 117 comparable senior data science roles in United States; Redshift appears in 2.6% of 117 comparable senior data science roles in United States.
Quick facts
- Is the Senior Data Scientist role remote?
- It's hybrid — Newton Research expects some on-site time in Greater Boston Area.
- What's the salary range?
- Newton Research lists $175,000–$195,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Data Scientist 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: BigQuery, Databricks, Python, Redshift, SQL, Snowflake.
- What seniority level is this role?
- Newton Research targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Data Scientist role at Newton Research.
From the original posting
Senior Data Scientist
Greater Boston Area
Role Description
This is a full-time Senior Data Scientist role with Newton Research, Inc., working from our offices in Needham, MA (hybrid, in office 2-3 days per week). 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. At this level you take ownership of ambiguous, open-ended problems, scoping them yourself and deciding how they should be answered.
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
- Own problems end to end, from scoping the question to defending the answer to customers
- Work with engineering to encode your judgment into Newton's agents
- Build the evals and benchmarks that tell us whether an agent's analysis is correct, not just plausible, and set the methods the team uses as it grows
Qualifications
Master's or PhD in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or a 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, and the judgment to know which one a problem calls for
- 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, and writing code that ships to production
- Strong SQL and experience with cloud data platforms such as 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
Base Salary Range: $175,000-$195,000 + Equity
Standard company text repeated across Newton Research's postings is omitted here.