This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Scientist, Marketing based in the United States.
This role sits at the intersection of data science, marketing strategy, and machine learning-driven product optimization. You will own high-impact modeling initiatives that directly influence revenue, ROAS, and customer acquisition efficiency across major digital marketing channels. Working in a fast-paced, performance-oriented environment, you will translate complex business problems into scalable ML solutions deployed in production. The role requires deep hands-on execution across modeling, experimentation, and deployment workflows in cloud environments. You will partner closely with business, engineering, and marketing stakeholders to continuously improve targeting, ranking, and monetization systems. Your work will shape how users are acquired, engaged, and converted at scale. This is a highly autonomous role where impact is measured directly through business outcomes.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Scientist, Marketing based in the United States.
This role sits at the intersection of data science, marketing strategy, and machine learning-driven product optimization. You will own high-impact modeling initiatives that directly influence revenue, ROAS, and customer acquisition efficiency across major digital marketing channels. Working in a fast-paced, performance-oriented environment, you will translate complex business problems into scalable ML solutions deployed in production. The role requires deep hands-on execution across modeling, experimentation, and deployment workflows in cloud environments. You will partner closely with business, engineering, and marketing stakeholders to continuously improve targeting, ranking, and monetization systems. Your work will shape how users are acquired, engaged, and converted at scale. This is a highly autonomous role where impact is measured directly through business outcomes.
Accountabilities:
- Own end-to-end development of machine learning models that optimize marketing performance, from problem framing and feature engineering to deployment support and post-launch performance monitoring.
- Build and iterate on models for user acquisition, bidding efficiency, lead quality, funnel optimization, and lifetime value prediction, with a strong focus on ROAS impact.
- Design and implement advanced modeling approaches such as reinforcement learning, multi-armed bandits, and recommendation/ranking systems to improve targeting and conversion efficiency.
- Analyze large-scale marketing and user behavior datasets to identify optimization opportunities across campaigns, funnels, creatives, and acquisition channels.
- Partner with ML engineering teams to ensure smooth production deployment, scalability, and ongoing model performance monitoring.
- Collaborate with marketing, product, and business stakeholders to translate business objectives into measurable data science solutions and experimentation frameworks.
- Continuously identify new opportunities to improve monetization, efficiency, and user acquisition through data-driven insights and modeling innovation.
- 5+ years of hands-on experience in applied data science or machine learning roles with measurable business impact, ideally in digital marketing, adtech, or performance marketing environments.
- Strong experience building and deploying ML models in production, including within AWS or similar cloud environments.
- Advanced proficiency in Python and SQL, with the ability to work directly with large-scale datasets.
- Deep understanding of ML techniques such as ranking systems, recommendation engines, reinforcement learning, and predictive modeling (e.g., LTV, attribution, conversion modeling).
- Strong business acumen with the ability to translate marketing and revenue goals into modeling frameworks and data-driven solutions.
- Experience working with cross-functional stakeholders in fast-paced, data-driven environments.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences.
- Strong ownership mindset with the ability to operate end-to-end from problem definition to production impact.
- Competitive base salary aligned with U.S. market benchmarks and experience level
- Performance-based bonus and profit-sharing opportunities tied to business impact
- Fully remote work environment with global collaboration
- Comprehensive health, dental, and vision insurance
- Paid time off and flexible vacation policy
- 401(k) retirement plan and financial wellness support
- Opportunities to work on high-scale ML systems directly tied to revenue outcomes
- Career growth in a high-performance, data-driven organization
- Access to modern data science and ML tooling in cloud-native environments.