Data Science Lead for Sponsored Products Bidding
2 weeks ago
At Amazon, we are revolutionizing the way advertisers interact with our customers. As a Data Science Lead for Sponsored Products Bidding, you will be at the forefront of this transformation.
About the RoleWe are seeking an experienced Data Scientist to join our Sponsored Products Bidding team. In this role, you will be responsible for developing and implementing machine learning algorithms that drive discovery and sales for our advertisers. You will work closely with cross-functional teams to design and deliver data-driven solutions that meet our business objectives.
The ideal candidate will have a strong background in machine learning, data analysis, and software development. You should be able to communicate complex technical ideas effectively to both technical and non-technical stakeholders.
Responsibilities- Develop and implement machine learning algorithms to improve bidding efficiency and accuracy
- Work with data engineers to design and implement scalable data pipelines
- Collaborate with product managers to define and prioritize data-driven product features
- Conduct statistical analysis and A/B testing to inform business decisions
- Communicate results and insights to stakeholders through clear and concise reporting
To be successful in this role, you will need:
- 3+ years of experience in machine learning, data analysis, or software development
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Strong understanding of statistical modeling and data mining techniques
- Excellent communication and teamwork skills
At Amazon, we offer a competitive salary range of $180,000 - $250,000 per year, depending on experience, plus benefits including medical, dental, and vision insurance, 401(k) matching, and paid time off.
We are committed to diversity, equity, and inclusion in the workplace. We welcome applications from qualified candidates of all backgrounds.
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