Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

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 role, heavily immersed in data and modeling, framing business problems directly with stakeholders, building and validating models, and engaging through deployment, monitoring, and performance analysis. The role will initially focus on Insurance and Advertiser Quality, with scope broadening over time, and the primary metric being ROAS.

Responsibilities

Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact
Deliver buying models that maintain positive ROAS and quality
Drive lead quality improvements across our portfolio of brands, 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

Proven experience in digital marketing, performance marketing, or the leadgen industry
Building adtech algorithms and supporting user acquisition or paid media modeling
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
Sophisticated ML at companies where paid digital media is core to the business model
Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models
Insurance domain experience
Creating state-of-the-art Ad Ranking algorithms
Modeling against ad-platform data points (Google, Meta, native)
LLMs / deep learning applied to personalization or content
Familiarity with Looker

Skills

Python
SQL
AWS
Machine Learning
Data Science
Digital Marketing
Performance Marketing
Lead Generation
Adtech Algorithms
User Acquisition
Paid Media Modeling
Multi-armed Bandit
Reinforcement Learning
Recommendation Systems
Ranking Systems
Funnel Optimization
Monetization Optimization
LTV Modeling
Embeddings
Ad Ranking Algorithms
LLMs
Deep Learning
Personalization
Content Optimization
Looker

Location

South Florida
Remote

Work Type

Remote-first

Experience Level

5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact

About the Company

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

Equal Opportunity

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.