Data Scientist

Newton Research

$135K — $165K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's or PhD in a quantitative field (Math, Physics, Statistics, CS, or related)
  • Strong foundation in data analysis, statistical modeling, and machine learning
  • Ability to evaluate models and experiments critically
  • Proficiency in Python and libraries like pandas and scikit-learn
  • Strong SQL skills and experience with relational databases
  • Ability to explain technical concepts to varied audiences
  • Experience with production coding or cloud data platforms is a plus

Responsibilities

  • Build production-level models and algorithms for media and audience analysis
  • Design and interpret experiments to validate results
  • Collaborate with engineering to implement your insights into software
  • Contribute to evaluations and benchmarks for agent performance

Benefits

  • Collaborative work environment with a focus on autonomy
  • Impactful role in a small team setting
  • Opportunity to work closely with engineering teams
  • Quickly see the results of your work reach customers
Full Job Description
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

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