Data Scientist, Product

Meta; São Paulo; On-site; BRL 400,000 - 900,000; Full time

Job summary

WhatsApp in Brazil is forming a Data Science leadership team to drive analytics and product strategy for WhatsApp Services. The leader will oversee a zero-to-one effort, pushing a practical and ambitious technical vision across multiple teams.

The role requires hands-on leadership, strong collaboration with Engineering and Product, and a track record of guiding data-informed decisions in a fast-moving environment. This is a high-impact, senior position within WhatsApp Services in Brazil.

Qualifications

• 10+ years in analytics and data science leading work with cross-functional partners
• Ability to frame analytical problems and communicate findings to stakeholders

Responsibilities

• Collaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for WhatsApp
• Contribute to the long-term technical vision and analytics metrics for WhatsApp
• Work with engineers and data scientists to build and improve AI development, automation, experimentation, and measurement methods
• Develop understanding of large-scale AI systems to identify risks and opportunities
• Inspire and lead a team of data scientists and managers across multiple teams

Skills

Analytics leadership

Cross-functional collaboration

AI development & experimentation

Data-driven strategy

Team leadership

Job description

Summary:

More than 3 billion people in over 180 countries use WhatsApp to stay in touch with friends and family, anytime and anywhere. In Brazil, it is also where a great deal of everyday life gets done — people message businesses, coordinate their families, and increasingly send money as easily as they send a message.We are building a new team to take WhatsApp further in that direction. The newly established WhatsApp Services team is focused on making WhatsApp more useful for more of what people already use it for, and on building what comes next.This Data Science leader for Brazil will oversee the newly established WhatsApp Services team, treated as a zero-to-one effort so we can move fast, take risks, and build as we go. We are looking for a hands-on leader who can roll up their sleeves and work as an individual contributor or org leader, based on the needs of the team.As a data science leader at WhatsApp, you will use your start-up mindset and your full range of analytical leadership skills to produce well-designed, user-focused products. You’ll be expected to push the boundaries of what’s possible in a mobile app, while sharing in our commitment to quality and attention to detail. This is a role for someone who can hold both the ceiling and the floor: sets an ambitious long-term technical vision for what WhatsApp can become.

Required Skills:

Data Scientist, Product Responsibilities:

1. Collaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for WhatsApp

2. Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance WhatsApp

3. Work with engineering and other data scientists to build and improve AI development, automation, experimentation, and measurement methods and metrics, ensuring high-quality throughput and impact

4. Develop an understanding of complex, large-scale AI development, experimentation, and measurement systems, as well as broader industry challenges, to identify current and future risks and opportunities

5. Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers

Minimum Qualifications:

Minimum Qualifications:

1. 10+ years of experience in analytics and data science, leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development

2. Experience framing analytical problems and communicating findings to technical and non-technical stakeholders

Preferred Qualifications:

Preferred Qualifications:

1. Experience in adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

2. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

3. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

4. Experience with predictive modeling, machine learning, and experimentation/causal inference methods

Industry: Internet