Senior Data Scientist

2 semanas atrás

Rio de Janeiro, Rio de Janeiro, Brasil beBeeML Tempo inteiro US$120.000 - US$160.000
Machine Learning Engineer - Ad Optimization

We're a data-driven company that leverages technology to connect consumers with leading brands. Our team spans over 15 countries, and we're headquartered in South Florida.

We transform audience engagement into actionable insights through data, machine learning, and optimization.

Your Mission

You will design, deploy, and refine scalable ML systems that optimize revenue while enhancing user experience. You'll collaborate across teams to develop algorithms that improve ad targeting, relevance, and efficiency at global scale.

Required Skills and Qualifications
  • 7+ years of software development and ML engineering, including 3+ years focused on advertising systems
  • Proven experience optimizing ad performance using both mature models and emerging ML technologies
  • Expertise in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV
  • Proficiency with Python, SQL, and modern ML frameworks (TensorFlow, PyTorch)
  • Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS/GCP)
  • Strong analytical problem-solving skills with a proven track record of delivering measurable results
  • Excellent communication, teamwork, and project management skills
What We Offer
  • Develop and scale advertising algorithms that optimize engagement and revenue simultaneously
  • Apply cutting-edge ML approaches (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
  • Collaborate with global teams across product, data, and engineering to launch high-impact ad features
  • Stay ahead of emerging technologies and integrate them into our ML stack when they create competitive advantage

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