Experience: 5+ Years

Job Description:

Design, develop, and maintain a robust real time bidding system that efficiently handles high volume bid requests in the retail media landscape.
Implement bidding strategies that optimize for KPIs while considering factors such as budget constraints, targeting criteria, and user behaviour.
Create advanced machine learning algorithms and optimization techniques to improve ad targeting, relevancy, and user engagement, extending to traffic shaping algorithms that will help increase fill rates.
Utilize data mining and statistical analysis to identify patterns, trends, and opportunities for enhancing bid optimization strategies.
Optimize and scale the bidding infrastructure to accommodate increasing demand and handle real time auctions efficiently.
Engage in technical architecture discussions, solve ambiguous problems, and execute on a solution with a diverse team of engineers and product owners.
Work directly with cutting edge machine learning and distributed computing technologies in a highly scalable, cloud-based environment to optimize metrics related to Real-Time Bidding (RTB).
Develop and maintain a deep understanding of the advertising industry to guide decisions about our technical approach and key features to implement.
Use technology to innovate and implement various ad tech features, privacy frameworks and setup integrations with external partners.

Qualifications:

Data Science / ML Engineer with 5+ years of experience.
B.S. in Computer Science preferred or equivalent experience.
Must have experience in a high-volume transaction system > 100k transactions/second.
Must have experience in Real-Time Bidding (RTB) AdTech domain with successful implementation of Ad Products at an AdTech company.
Solid understanding of machine learning techniques, including supervised and unsupervised learning, and experience applying them to solve real- world problems.
Strong grasp of advertising technologies like Demand-Side Platforms (DSPs), Supply Side Platforms (SSPs), and real-time bidding protocols (OpenRTB).
A history of successfully shipping products related to AdTech RTB into production.
Knowledge of cloud computing platforms (e.g ., AWS, Azure, GCP ) and distributed computing principles.
Excellent problem-solving skills, analytical mindset, and attention to detail.
Strong communication and teamwork skills, with the ability to explain complex concepts to non-technical stakeholders.

Benefits and Perks:

Data Scientist

Job Description