Leader In Machine Learning And Data Products

Bebeedata; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A reputable technology company in Brazil is seeking a Senior Data Science Leader to define the strategic vision and oversee advanced machine learning products. This role requires a minimum of 10 years of experience in machine learning and data science, with a strong emphasis on team leadership and developing segmentation models. The position is fully remote, offering flexibility and the opportunity to shape data-driven initiatives within the organization.

Serviços

Fully remote work arrangement

Flexible Paid time off (PTO)

Personal laptop

Qualificações

• Minimum of 10 years of experience in machine learning engineering or data science.
• Experience in managing and mentoring a team of data scientists or ML engineers.
• Expert-level experience in building segmentation and propensity models.

Responsabilidades

• Develop and implement a technical roadmap for data science.
• Direct the design of high-impact data products focused on segmentation.
• Lead and manage a team of ML / Data Scientists.

Conhecimentos

Machine learning engineering

Data science

Team leadership

Predictive modeling

Segmentation models

Descrição da oferta de emprego

Senior Data Science Leader

About this role : Carnegie has been a leader in higher education marketing and enrollment strategy for over 30 years.

We offer services in research, strategy, digital marketing, lead generation, slate optimization, student search, website development, and creative that generate authentic connections. This senior position will be responsible for defining the strategic vision, leading the development, and overseeing the deployment of advanced machine learning models and data-driven products.

The focus will be on student audience segmentation, predictive propensity modeling, and AI-enabled career advising.

Data Science Strategy and Team Leadership

Responsibilities

• Develop and implement a technical roadmap for data science initiatives, focusing on model reliability, fairness, and interpretability.
• Direct the design, development, and implementation of high-impact data products, especially those focused on segmentation and propensity models.
• Lead, mentor, and manage a team of ML / Data Scientists, fostering a culture of technical excellence and continuous improvement.

Requirements

• Minimum of 10 years of experience in machine learning engineering, data science, or a related analytical/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.

We offer

• Fully remote work arrangement.
• Flexible Paid time off (PTO) for any reason.
• Personal laptop.