Staff Data Scientist, Marketing
About Our Client
The organization is a digital media company that reaches over 30 million monthly visitors through various brands. It operates within the digital marketing and advertising industry, focusing on connecting consumers with leading brands through data-driven content and technology. The company maintains a remote-first team distributed across more than 15 countries, supporting a high-growth and performance-driven culture.
About the Opportunity
The Staff Data Scientist, Marketing is responsible for owning the complete data science process for a key business vertical, from identifying business challenges to deploying models and analyzing live return on ad spend (ROAS) performance. This role involves hands-on development and deployment of machine learning solutions that directly impact revenue and media efficiency, with an initial focus on the Insurance vertical and Advertiser Quality.
Responsibilities
- Own end-to-end modeling work for the Insurance vertical with measurable ROAS impact
- Develop buying models that sustain positive ROAS and maintain quality
- Improve lead quality across multiple brands and channels, influencing revenue growth
- Build trusted partnerships with vertical business stakeholders
- Deliver validated, well-documented outputs requiring minimal correction
- Identify and pursue new modeling opportunities beyond current business focus
Requirements
- Proven experience in digital marketing, performance marketing, or lead generation
- Experience building adtech algorithms and supporting user acquisition or paid media modeling
- Strong fundamentals in modeling with demonstrated business impact
- 5+ years of hands-on applied data science experience deploying ML solutions in AWS cloud
- Expertise in multi-armed bandit/reinforcement learning, recommendation and ranking systems, funnel and monetization optimization, and LTV modeling
- Advanced proficiency in Python and SQL
Pay
Base salary ranges from $175,000 to $200,000 per year, paid semi-monthly.