Growth Data Scientist (Measurement Lead)

• 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
• 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
• 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

Benefits

• Work from home opportunities
• Paid time off and paid holidays
• Paid parental leave
• FSA and commuter benefit programs
• Team activity budget
• Top-tier 401(K) plan with company matching
• Health, dental, and vision care for you and your family- 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
• Industry open — gaming, e-commerce, subscription, and fintech all transfer
• Fluent with MMPs, clear-eyed about attribution’s limits, has built LTV models
• Preferred: analytics support for $20M+ in annual spend
• Strong SQL and Python