Growth Data Scientist — Measurement Lead
At a glance
Senior Data Science role at NewsBreak. Mountain View · $100,000–$250,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Design and run geo holdouts and other lift studies, then explain what their results show
- Build lifetime-value estimates by DMA and use them to propose bidding tiers across geographies
- Set the bidding agent’s optimization target and the rules it uses to shift budget
- Define success measures and statistical power needs for product tests, including local verticals
- Support both paid and organic growth teams with measurement and analysis
What you bring
- You have personally designed and run incrementality or geographic experiments, not just studied the approach
- You bring four to eight years in marketing or growth analytics
- You can work fluently with MMPs, understand attribution limits and have built lifetime-value models
- You have strong SQL and Python skills
Who this fits
This senior role suits a hands-on growth measurement specialist who can work independently and serve both paid and organic teams. It is based in Mountain View, and the stated experience range is four to eight years. Industry experience can transfer across gaming, e-commerce, subscription or fintech.
From the employer
About NewsBreak
Local life runs on local information. What happened down the street? Who can fix this? Where should we go tonight? NewsBreak started in 2015 to answer these questions, and today more than 40 million people a month rely on us to follow what’s going on in their zip code.
Three platforms with one vision: powering local life. Led by founder and CEO Jeff Zheng, NewsBreak is our local life and news platform; Nearby AI connects people with local businesses; and NDot AI helps publishers and creators grow and earn.
Building for the long term. A $115 million Series C made us a unicorn in 2021, and we keep investing in our people. We’re Great Place to Work® certified and named to Fast Company’s Best Workplaces for Innovators (2025) and Fortune’s Best Workplaces in the Bay Area™ (2026).
Everyone makes an impact. Whether you write code, shape products, tell our story, or run the business, we want people who own projects end to end, stay curious, and speak up. Join us.
Learn more at: NewsBreak, Nearby AI, NDot AI
Why this role exists
The team has never run a single incrementality test, and — for a hyper-local product — still bids uniformly nationwide. Meanwhile an automated bidding system is being built. Without a trustworthy incrementality signal, it will shift budget at machine speed toward whatever attributes best, which is typically whatever is least incremental.
The efficiency at stake is in the eight figures annually, and it gates most other growth work. This role sits independently, not under the media-buying team — otherwise day-to-day campaign work will crowd it out.
What you'll own
- Design, execution, and readout of geo holdouts and other lift tests
- DMA-level LTV modeling and geo-tiered bidding
- The objective function and decision rules for the agentic bidding system
- Success criteria and power requirements for product experiments, including local verticals
- Serving both the paid and organic growth teams
What we're looking for
- Hands-on incrementality / geo-experiment experience is required — familiarity with the concept is not enough; you've designed and run them
- 4–8 years in marketing or growth analytics
- Fluent with MMPs, clear-eyed about attribution's limits, has built LTV models
- Strong SQL and Python
- Preferred: analytics support for $20M+ in annual spend
- Industry open — gaming, e-commerce, subscription, and fintech all transfer
First 90 days
- Audit spend by optimization event; build the DMA-level value table
- Launch the first geo holdout, starting with brand terms and retargeting audiences
- Deliver a first geo-tiered bidding proposal
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