Growth Data Scientist: Incrementality & Geo Experiments

Francisco Partners; Mountain View (CA); On-site; USD 100,000 - 250,000; Full time

Job summary

NewsBreak is seeking a growth analytics lead to design and evaluate geo holdouts and other lift tests. You will develop DMA-level LTV models and geo-tiered bidding, shaping the objective function for the bidding system.

The role requires strong SQL and Python, experience with MMP attribution, and prior responsibility for large-scale spend. You will collaborate with paid and organic growth teams in a fast-growing content platform.

Qualifications

• Hands-on incrementality / geo-experiment experience is required.
• 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.

Responsibilities

• 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.
• Audit spend by optimization event and 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.

Skills

incrementality

geo-experiments

SQL

Python

MMPs

LTV modeling

advertising analytics

Tools

SQL

Python

MMPs

Job description

NewsBreak is seeking a growth analytics lead to design and evaluate geo holdouts and other lift tests. You will develop DMA-level LTV models and geo-tiered bidding, shaping the objective function for the bidding system.

The role requires strong SQL and Python, experience with MMP attribution, and prior responsibility for large-scale spend. You will collaborate with paid and organic growth teams in a fast-growing content platform.