Staff Data Scientist, Marketing

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the complete data science process for a key vertical, from identifying business challenges to deploying models and analyzing live ROAS performance, ultimately driving significant revenue and media efficiency.

• This is a hands-on role that requires deep engagement with data and modeling; you will work closely with stakeholders to define business problems, develop and validate models, collaborate with your ML engineering partner for the final implementation, and remain involved during deployment, monitoring, and performance evaluation.

• Initially, you will concentrate on Insurance and Advertiser Quality, with the potential to expand your focus over time. Your main performance indicator will be ROAS.

• Create purchasing models that ensure positive ROAS and maintain high quality.

• Enhance lead quality across our diverse portfolio of brands, including Messaging, Funnels, Content/Listicles, and more, resulting in tangible revenue growth.

• Build a reliable, direct partnership with business stakeholders in your vertical.

• Generate trustworthy outputs: validated, well-documented, and with minimal correction needs.

• Discover and utilize new modeling opportunities that have not yet been identified by the business.

⛳️ Requirements

• Demonstrated experience in digital marketing, performance marketing, or the lead generation sector.

• Experience in developing adtech algorithms and facilitating user acquisition or paid media modeling (highly preferred).

• Strong grounding in modeling fundamentals: the capability to create effective models that deliver business results.

• Several years of hands-on experience in building and implementing ML solutions within the AWS cloud environment.

• Practical experience across essential technique areas: multi-armed bandit/reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, and LTV modeling.

• Proficiency in Python and SQL.

• Over 5 years in a hands-on, applied data science position that has produced measurable business impact.

🏝️ Benefits

• The base salary is aligned with market rates for the nearest major metropolitan area and varies according to Launch Potato’s Levels Framework.

• Your compensation package includes a base salary, a profit-sharing bonus, and competitive benefits.