Data Science Lead

hace 16 horas


Madrid, Madrid, España Amazon A tiempo completo

About Amazon
Amazon is one of the world's leading e-commerce companies, committed to a diverse and inclusive workplace. We strive to deliver the best possible customer experience through innovative solutions and exceptional service.

Salary Information
The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year. This figure reflects the cost of labor across several US geographic markets and may vary depending on job-related knowledge, skills, and experience. In addition to a full range of medical, financial, and/or other benefits, you may also receive equity, sign-on payments, or other forms of compensation as part of your total compensation package.

About the Role
We are seeking an accomplished Data Science Lead to lead the Applied Science strategy for our Media Planning Science program. As a key member of our team, you will work closely with business leaders, stakeholders, and cross-functional teams to drive program success through ML-driven solutions. Your responsibilities will include shaping the applied science roadmap, promoting a culture of data-driven decision-making, and delivering significant business impact using advanced data techniques and cutting-edge applied science methodologies.

Key Responsibilities
In this role, you will:
• Serve as the technical leader in Machine Learning, guiding efforts within the team and collaborating with other teams.
• Conduct hands-on analysis and modeling of large-scale data to generate insights that boost traffic monetization and merchandise sales while maintaining a positive shopper experience.
• Lead end-to-end Machine Learning projects that involve high levels of ambiguity, scale, and complexity.
• Build, experiment, optimize, and deploy machine learning models, collaborating with software engineers to bring your models into production.
• Run A/B experiments, gather data, and perform statistical analysis to validate your models.
• Develop scalable and automated processes for large-scale data analysis, model development, validation, and serving.
• Explore and research innovative machine learning approaches to push the boundaries of what's possible.

About the Team
The Media Planning Science team builds and deploys models that provide insights and recommendations for media planning. Our mission is to assist advertisers in activating plans that align with their goals. We integrate our insights into user interfaces and programmatic integrations via APIs, ensuring reliable data, timely delivery, and optimal advertising outcomes for our advertisers.

Qualifications
To be successful in this role, you will need:• 3+ years of building models for business application experience.
• 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.
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.


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