Senior data scientist, performance optimization
the goal of this role is to create high-impact data products that drive revenue growth and user engagement. This position focuses on building scalable machine learning systems for advertising optimization.
to be successful in this role, you will need a strong technical foundation in software development and machine learning engineering. You should have experience optimizing ad performance using both mature models and emerging technologies.
this role requires expertise in one or more machine learning areas, such as recommendation systems, advertising algorithms, natural language processing, or computer vision. Proficiency in python, sql, and modern machine learning frameworks like tensorflow or pytorch is also necessary. Additionally, you should be familiar with distributed data processing and cloud infrastructure.
you will work closely with cross-functional teams to design, deploy, and refine algorithms that improve ad targeting, relevance, and efficiency at global scale. Your mission will be to elevate the company's advertising performance by developing production-ready machine learning systems that optimize revenue while enhancing user experience.
key responsibilities:
* develop and scale advertising algorithms that optimize engagement and revenue simultaneously
* apply cutting-edge machine learning approaches to improve ad performance
* build scalable infrastructure to support real-time ad decisioning across millions of requests per day
* conduct rigorous experiments to measure model impact on business kpis
* continuously improve etl pipelines and monitoring systems to ensure reliable ad delivery
about us:
we are a dynamic team that values diversity, equity, and inclusion. We strive to create an environment where everyone feels valued and empowered to contribute their best work.
we offer a competitive compensation package that includes benefits and opportunities for growth and professional development. If you believe you have the skills and passion required for this role, please apply now.