Are you passionate about solving big problems from ground-up? Do you enjoy building new state-of-the-art products at internet scale? Come lead the innovation in this startup team, vertical ad products. This is a green field problem without a known answer or a pattern to follow.
We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc.
We are seeking an experienced Sr Data Scientist to drive innovation in our Ads Foundational Model. In this individual contributor role, you will apply advanced
machine learning techniques to improve advertiser performance and customer experience.
Key job responsibilities
As a Data Scientist on this team, you will:
1. Develop and drive the science strategy for Ads Foundational Model (Ads-FM), aligning it with the program's objectives and overall business goals.
2. Identify high-impact opportunities within Ads-FM program and lead the ideation, planning, and execution of science initiatives to address them.
3. Build and deploy
machine learning models using
computer vision,
natural language processing, and
deep learning to evaluate and enhance ad effectiveness.
4. Develop algorithms that extract meaningful signals from image, video, and audio content to predict and improve customer engagement
5. Leverage Amazon's extensive data repository to create predictive models that generate actionable recommendations for more compelling ad creative
6. Collaborate with business leaders and
cross-functional teams to implement ML-powered solutions
7. Contribute to the ML roadmap for the Ads-FM program through innovation and research.
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g.
Python) or statistical/mathematical software (e.g.
R, SAS,
Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic
regression
- 2+ years of data visualization using
AWS QuickSight,
Tableau,
R Shiny, etc. experience
- Experience managing
data pipelines- Experience as a leader and mentor on a data science team
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