InMarketHiring

Data Scientist, Measurement

  • Remote, United States
  • Mid-level
  • Posted 13 days ago
In one line

Data science role on an AI engineering team, building machine learning and causal inference models for ad measurement products; remote within the US.

About the role

Core machine learning and AI solutions that power advertising measurement sit with this person, from early prototypes through to production systems running on very large data sets.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
Python, SQL, Bayesian statistics, Causal inference, Media Mix Modeling, AWS, GCP, BigQuery
Posted
16 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Work with senior colleagues and product stakeholders to turn early ideas into production systems
  • Own core ad measurement products and push their performance further
  • Explore data, test ideas with experiments, and suggest new products or improvements
  • Partner with engineering and product to grow the causal inference and attribution platform

What they look for

  • Degree in statistics, computer science, economics, operations research or a similar quantitative field
  • At least 3 years applying Bayesian statistics, causal inference and marketing statistical models to hard data problems
  • Programming skills, ideally Python with its data science tools plus SQL, and a wish to write production code
  • Clear communication of methods and results to people with different technical backgrounds
  • Hands-on use of Claude Code, Codex or similar agentic development tools

Nice to have

  • Experience with Media Mix Modeling
  • Cloud work on AWS or GCP, especially GCP, plus BigQuery and Spark

Benefits

  • Competitive salary with stock options and flexible vacation
  • Medical and dental cover plus a flexible spending account

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Connector URL
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Questions about this job

Is this job fully remote, and from where?

Yes. The posting lists Data Scientist, Measurement as a remote role for candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a mid-level role. The posting asks for: degree in statistics, computer science, economics, operations research or a similar quantitative field; at least 3 years applying Bayesian statistics, causal inference and marketing statistical models to hard data problems; programming skills, ideally Python with its data science tools plus SQL, and a wish to write production code. Skills it names include Python, SQL, Bayesian statistics, Causal inference.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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