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Staff Data Scientist, Marketing
Launch PotatoStaff Data Scientist at Launch Potato managing data science projects for Insurance and Advertiser Quality sectors. Focused on driving measurable revenue and media efficiency through modeling and data analysis.
Tech Stack
Tools & technologiesAWSCloudPythonSQL
About the role
Key responsibilities & impact- Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency.
- This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis.
- You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS.
- Deliver buying models that maintain positive ROAS and quality.
- Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth.
- Establish trusted, direct partnership with vertical business stakeholders.
- Produce trusted output: validated, documented, low correction burden.
- Identify and leverage net-new modeling opportunities the business has not flagged.
Requirements
What you’ll need- Proven experience in digital marketing, performance marketing, or the leadgen industry
- Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired)
- Strong modeling fundamentals: the ability to build effective models that drive business impact
- Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud
- Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling
- Expert Python and SQL
- 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact.
Benefits
Comp & perks- Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework.
- Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Modeling FundamentalsMulti-Armed BanditReinforcement LearningRecommendation SystemsFunnel OptimizationLTV ModelingAdtech AlgorithmsData AnalysisBusiness Impact MeasurementModel Validation
Soft Skills
Stakeholder EngagementPartnership BuildingCommunication