Senior Data Scientist for Ad Tech
3 weeks ago
Company Overview:
Netflix is a leading global entertainment service with over 260 million paid memberships worldwide. We deliver a wide range of TV shows, movies, and documentaries across various genres and languages. Our members enjoy seamless content playback, anytime, anywhere.
Our focus has shifted to expanding consumer choices and providing advertisers with a premium brand experience that surpasses traditional linear formats. The challenge ahead involves scaling our ad tech to maximize its impact on our business.
The Role:
We are seeking an experienced ML Engineer to join our Ads Platform Engineering team. As a key member of this team, you will play a crucial role in building advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem.
Your primary responsibilities will include:
- Productionizing models to forecast ad inventory availability and performance.
- Developing predictive models to forecast the effectiveness of advertising campaigns.
- Bringing complex models to life in low-latency real-time advertising environments.
- Building scalable simulation solutions to model different inventory scenarios.
- Designing budgeting and pacing systems, models, and algorithms.
Requirements and Qualifications:
To be successful in this role, you should have:
- Experience with machine learning engineering and productionizing models.
- Strong understanding of ad tech systems, including ad servers, bidders, yield optimizers, and demand-side platforms.
- Proficiency in programming languages such as Python or Java.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Benefits:
At Netflix, we offer a comprehensive benefits package, including health plans, mental health support, a 401(k) retirement plan with employer match, stock option program, disability programs, health savings accounts, and family-forming benefits.
Salary Range: $100,000 - $720,000 per annum
Location: Remote or hybrid, based on company needs.
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