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Chief Analytics Officer

Bebeemachinelearning

São Paulo

Presencial

BRL 200.000 - 250.000

Tempo integral

Ontem
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Resumo da oferta

A prominent tech company in São Paulo is seeking a seasoned Data Science leader to drive strategic vision and oversee advanced machine learning models development. The successful candidate will lead a team of skilled data scientists, focusing on robust data solutions and impactful data products. Candidates should have at least 10 years of related experience and a PhD in a quantitative field. This is a crucial role aimed at promoting business growth through innovative data-driven approaches.

Qualificações

  • At least 10 years of experience in machine learning engineering, data science, or related leadership role.
  • Demonstrated experience in managing and mentoring a team of data scientists or ML engineers.
  • Expert-level experience in building and deploying segmentation and propensity models.

Responsabilidades

  • Lead a team of skilled data scientists and engineers to create robust data pipelines.
  • Design, develop, and implement high-impact data products.
  • Oversee the utilization of advanced machine learning techniques.

Conhecimentos

Team Leadership
Advanced Machine Learning
Data Product Development

Formação académica

PhD in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
Descrição da oferta de emprego
Data Science Leadership Role

As a seasoned Data Science leader, you will be responsible for driving the strategic vision and overseeing the development of advanced machine learning models and data-driven products. Your expertise in leading high‑performing teams and designing impactful data solutions will be instrumental in driving business growth.

Key Responsibilities
  • Team Leadership: Lead a team of skilled data scientists and engineers to create robust and scalable data pipelines and analytical solutions.
  • Data Product Development: Design, develop, and implement high‑impact data products, with a focus on segmentation and propensity models.
  • Advanced Machine Learning: Oversee the utilization of advanced machine learning techniques, including predictive modeling, recommendation systems, and natural language processing.
Requirements
  • At least 10 years of experience in machine learning engineering, data science, or a related leadership role within SaaS, marketing technology, higher ed tech, or related domains.
  • Demonstrated experience in managing and mentoring a team of data scientists or ML engineers.
  • Expert‑level experience building and deploying segmentation and propensity models in a commercial setting.
Credentials and Experience
  • PhD in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
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