Job seekers with expertise in machine learning and statistical modeling are sought after to occupy a pivotal role in the development of our advertising platform.
About The Role
This is an opportunity for experienced professionals to utilize their skills in designing, building, and refining high-frequency bidding algorithms within a real-time environment.
Key responsibilities include analyzing data, conducting simulations, and collaborating with engineering teams to optimize bidding strategies and maximize campaign performance against various key performance indicators (KPIs).
* Design and implement real-time bidding (RTB) strategies and algorithms to enhance programmatic advertising capabilities.
* Focus on continuous optimization of bidding and budget pacing algorithms to improve campaign outcomes.
* Conduct in-depth analysis, modeling, and simulation to identify opportunities for algorithmic enhancements.
* Develop and deploy bidding models, including design, implementation, testing, and debugging in a production setting.
* Collaborate with cross-functional teams to ensure robust and scalable implementation of bidding algorithms.
A successful candidate will possess a Master's or PhD in a quantitative field such as Computer Science, Statistics, Machine Learning, or a related discipline. Strong experience in designing and implementing machine learning models and optimization algorithms is also required.
Proficiency in programming languages commonly used in data science, such as Python, and familiarity with machine learning libraries like Scikit-learn, TensorFlow, and PyTorch are necessary. A solid understanding of software system principles, design, implementation, debugging, and optimization is also essential.
The ideal candidate will have a strong analytical and problem-solving mindset, with the ability to translate complex business problems into tractable quantitative models. Additionally, they should be adept at staying current with the latest research and technical advancements in machine learning and optimization.
Requirements:
* A Master's or PhD in a quantitative field.
* Strong experience in machine learning and optimization.
* Proficiency in programming languages and machine learning libraries.
* Solid understanding of software system principles.
* Strong analytical and problem-solving skills.
What We Offer:
We offer a dynamic work environment that fosters collaboration, innovation, and growth. Our team is passionate about developing cutting-edge solutions that drive business success.
If you are a motivated and detail-oriented professional with a passion for machine learning and optimization, we encourage you to apply for this exciting opportunity.