Data Scientist, Measurement & Incrementality

About aematic

aematic is the optimization and measurement layer for advertising on AI answer-engines, starting with OpenAI’s ChatGPT. As advertising opens up on AI assistants, advertisers need real tooling to plan, launch, optimize, and measure campaigns on a channel the native consoles barely support. aematic runs the full loop for the advertiser: research the account, plan and launch campaigns, manage bids, and measure outcomes. Independent, trustworthy measurement is central to what we do.

The role

You own how aematic measures whether advertising actually worked. That means building the incrementality and attribution methods that tell an advertiser what their AI ad spend truly caused, not just what got reported. You will define the measurement science of a new channel and build benchmarks that get more useful as we work with more advertisers.

What you will do

• Build attribution and incrementality measurement for AI ad spend, including experiment design (holdouts, geo tests, lift studies).
• Develop cross-advertiser benchmarks and insights that a single advertiser could not produce alone.
• Turn conversion, pixel, and Conversions API data into trustworthy answers about what drove outcomes.
• Partner with ML engineers so measurement feeds back into bidding and optimization.
• Build the analyses and reporting that show customers the profit impact of their spend.
• Set the standard for measurement rigor in a category that has none yet.

What we are looking for

• 4+ years in data science, with real depth in causal inference, experimentation, or marketing measurement.
• Strong applied statistics and fluency in Python and SQL.
• Experience designing and analyzing experiments (A/B, holdout, geo, lift) on observational and messy real-world data.
• The judgment to know when a measurement is trustworthy and the communication skill to explain it plainly.
• Comfort building measurement methods from scratch rather than applying an established framework.

Nice to have

• Background in marketing mix modeling, multi-touch attribution, or media incrementality.
• Adtech or martech experience, especially measurement or analytics products.

Why now

You are building the independent source of truth for a channel that is brand new, with no competing standard to displace.