- Newsbreak
- Mountain View, CA
- 52 days ago
- $100,000–$250,000
Growth Data Scientist — Measurement Lead.
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Growth Data Scientist — Measurement Lead: our view in 3 lines...
- The Role:This role is for a growth data scientist focused on measurement for a content intelligence platform with large-scale user and ad systems.
- The Person:The person will design and run geo holdouts and other lift tests, build DMA-level LTV models, define bidding decision rules, and set experiment success criteria and power requirements.
- Requirements:The ideal candidate has hands-on incrementality or geo-experiment experience, 4 to 8 years in marketing or growth analytics, fluency with MMPs, strong SQL and Python, and experience building LTV models.
About the role
About NewsBreak
Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit www.newsbreak.com/about
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