Horizon Media is seeking to drive the development of innovative AI/ML-powered solutions and lead the integration of data science techniques across multiple platforms to enhance user experience and data-driven decision-making.
Requirements
- 7+ years of experience in data science, AI/ML development, and product strategy, with a proven track record in managing complex data products and solutions.
- Proficient in working with cloud-based data solutions such as Snowflake, Databricks, and other data engineering tools.
- Expertise in leveraging cloud platforms (e.g., AWS, Google Cloud, Azure) to build, deploy, and optimize data pipelines and AI/ML models at scale.
- Extensive experience with platform APIs and integrating data across multiple advertising platforms (Trade Desk, Google, Amazon, Meta, etc.).
- Hands-on experience in AI/ML model development and deployment, with a strong understanding of algorithmic approaches and performance optimization.
- Strong understanding of data architecture, data engineering, and the ability to translate business requirements into scalable technical solutions.
- Proficient in programming languages such as Python, SQL, and experience with version control tools like VS Code.
Responsibilities
- Define and lead the strategic roadmap for data products, AI/ML development, and integration across the Blu Platform.
- Lead the development process, from ideation to deployment, in collaboration with internal engineering teams and external partners.
- Oversee the creation and maintenance of advanced data pipelines that support custom activations, ensuring seamless data flow across platforms.
- Develop scalable AI/ML models to address business objectives and optimize performance in advertising campaigns.
- Manage integration of major advertising platform APIs (Trade Desk, Google, Amazon, Meta) to ensure smooth data exchange and optimization of programmatic advertising efforts.
- Build and enhance platform architecture to support the evolving needs of the Blu Platform, ensuring robust and scalable data infrastructure.
- Develop API strategies to improve data connectivity, enhancing data sharing between internal systems and external platforms.
Other
- Excellent communication and leadership skills, with the ability to collaborate across technical and non-technical teams.
- Collaborate with product managers, stakeholders, and platform leads to define product specifications and ensure alignment with business and technology objectives.
- Work with the experience team to develop and test new features, ensuring product readiness before launch.
- Evaluate new and existing platform partners to gauge opportunities for innovation and improvements in product development.
- Guide and mentor data science, engineering, and product teams on the adoption and implementation of advanced technologies, fostering an environment of continuous learning and innovation.
