Data Scientist, Product

Meta; Bengaluru; On-site; INR 4,000,000 - 9,000,000; Full time

Job summary

Meta seeks a Data Science leader for India to oversee the WhatsApp Services team. The role combines hands-on work and organizational leadership to deliver user-focused analytics products.

You will guide experimentation, modeling, and product planning with cross-functional partners to shape WhatsApp in India. You will drive a startup‑minded analytics program, pushing technical boundaries while upholding ethical AI practices and high-quality results.

Qualifications

• Bachelor’s degree in CS/CE or equivalent practical experience.
• 10+ years in analytics and data science, with IC leadership experience.
• Experience with cross-functional collaboration with Engineering, Analytics and Finance.
• Ability to frame analytical problems and communicate findings to technical and non-technical stakeholders.
• Experience with predictive modeling, machine learning and experimentation/causal inference.
• Masters or PhD in a quantitative field.
• Ability to integrate AI tools to optimize workflows and drive measurable impact.
• Ongoing AI skill development and staying current with emerging AI technologies.
• Knowledge of responsible, ethical AI practices.

Responsibilities

• Oversee the WhatsApp Services team in India as a zero-to-one effort.
• Lead analytics work and product planning in collaboration with Engineering, PM/TPM and Finance.
• Deliver well‑designed, user‑focused data products for WhatsApp in India.
• Push the boundaries of what’s possible in a mobile app with analytical leadership.
• Set a long‑term technical vision for WhatsApp in India and guide the team.

Skills

Predictive modeling

Machine learning

Causal inference

Stakeholder management

Cross-functional collaboration

AI tooling integration

Prompt engineering

Agent orchestration

Education

Bachelor's degree in Computer Science / Computer Engineering / related field

Masters or PhD in quantitative field

Job description

More than 3 billion people in over 180 countries use WhatsApp to stay in touch with friends and family, anytime and anywhere. In India, 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 India 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 deliver 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 in India.

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 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 Experience working effectively with multiple stakeholders and cross‑functional teams, including Engineering, PM/TPM, Analytics and Finance Experience framing analytical problems and communicating findings to technical and non‑technical stakeholders Experience with predictive modeling, machine learning, and experimentation/causal inference methods Masters or Ph.D. Degree in a quantitative field Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)