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Lead Applied Scientist, Marketing
Launch PotatoLead Applied Scientist managing data science initiatives for marketing at Launch Potato. Engaging deeply with data and modeling, aiming for measurable business outcomes in a remote setup.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying machine learning solutions in the AWS cloud, with a strong focus on digital marketing and performance marketing. Proven ability to drive revenue growth through effective model development and deployment, particularly in the insurance and lead generation sectors.
Highest-signal resume keywords
Machine Learning Solutions DeploymentDigital Marketing ExpertisePython ProgrammingSQL ProficiencyAdtech Algorithm Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Modeling FundamentalsMulti-Armed Bandit TechniquesReinforcement LearningRecommendation SystemsFunnel OptimizationMonetization OptimizationLTV Modeling
Soft Skills
CollaborationStakeholder EngagementPerformance Analysis
Tools & Technologies
AWS Cloud
Industry Keywords
Performance MarketingLead GenerationUser AcquisitionMedia EfficiencyRevenue Growth
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
- Collaborate directly with stakeholders, building and validating models, and ensuring effective deployment and performance analysis
- Start focusing on Insurance and Advertiser Quality, with future scope expansions
- Drive lead quality improvements across various brand portfolios leading to revenue growth
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, 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- Competitive salary
- Profit-sharing bonus
- Health insurance
- Flexible work arrangements