Driving Business Outcomes with Machine Learning Excellence

Há 2 dias

Salvador, Bahia, Brasil beBeeData Tempo inteiro R$150.000 - R$190.000
Senior Data Scientist, Ad Optimization

We're seeking a seasoned expert in machine learning and data analysis to join our team as a Senior Data Scientist, Ad Optimization. As a key member of our global data organization, you'll play a critical role in driving the development and implementation of cutting-edge algorithms that enhance ad performance and user experience.

In this challenging and rewarding position, you'll collaborate with cross-functional teams to design, deploy, and refine ML systems that optimize revenue while ensuring seamless user experiences. Your expertise will be instrumental in driving business outcomes through data-driven decision making.

Key Responsibilities:
  • Develop and scale advertising algorithms that optimize engagement and revenue simultaneously
  • Apply advanced ML techniques (e.g., reinforcement learning, deep learning for ranking) to improve ad performance
  • Build scalable infrastructure to support real-time ad decisioning across millions of requests per day
  • Conduct rigorous experiments (A/B and multivariate tests) to measure model impact on business KPIs
  • Continuously improve ETL pipelines and monitoring systems to ensure reliable ad delivery
Becoming a Key Player:

You'll work closely with product, data, and engineering teams to launch high-impact ad features and drive business growth. We value collaboration, innovation, and creativity, so don't hesitate to share your ideas and opinions. Whether it's staying ahead of emerging technologies or finding new ways to integrate them into our ML stack, we encourage you to take ownership and lead initiatives that create competitive advantage.

Your Skills:
  • Data Analysis Expertise: You have a proven track record of extracting insights from complex data sets and communicating findings effectively to stakeholders.
  • Machine Learning Mastery: You've developed and deployed production-ready ML models that deliver tangible business results, with a strong understanding of ML frameworks (TensorFlow, PyTorch) and distributed processing (Spark, Ray).
  • Cloud Computing Experience: You're familiar with cloud infrastructure (AWS/GCP) and can architect scalable systems that meet demanding requirements.
  • Effective Communication: You excel at distilling technical concepts into clear, concise language for both technical and non-technical audiences.

We're an equal opportunities employer committed to diversity, equity, and inclusion. If you're passionate about harnessing data science to drive business success, we'd love to hear from you.

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