Staff Marketing Scientist - Ads Measurement Lead (AU/India)

Snap Inc.; Singapore; Hybrid; SGD 180,000 - 260,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Mental health support programs

Job summary

Snap Inc. is seeking a Staff Marketing Scientist in Singapore to lead measurement strategy and analytical programs for large advertiser verticals across Asia-Pacific. You will partner with Sales leadership to evaluate Snap’s ad products and drive measurable ROI using causal and observational approaches.

You will own learning agendas, run experiments, and develop scalable measurement playbooks. The role requires deep statistical knowledge, strong storytelling to executives, and the ability to

Qualifications

• Bachelor’s degree in a quantitative or business field is required.
• 10+ years of advanced analytics and measurement experience in tech, media, or related sectors.
• Experience in ads measurement.
• Proven ability to generate actionable insights from complex data.
• Strong communication of analytical concepts to executives.

Responsibilities

• Own the measurement strategy, operations, goals, and learning plans for key partners or large customer verticals.
• Drive performance improvement via learning agenda development and causal analytics.
• Partner with Sales leadership in Australia and India to position and improve Snap’s ad products.
• Lead measurement operations across first‑ and third‑party solutions.
• Conduct market and country performance analyses and develop playbooks grounded in data.

Skills

Measurement concepts

Data analysis

Executive communication

Causal analytics

Experiment design

Education

Bachelor’s degree in quantitative or business field

Tools

SQL

SAS

SPSS

Job description

Snap Inc. is seeking a Staff Marketing Scientist in Singapore to lead measurement strategy and analytical programs for large advertiser verticals across Asia-Pacific. You will partner with Sales leadership to evaluate Snap’s ad products and drive measurable ROI using causal and observational approaches.

You will own learning agendas, run experiments, and develop scalable measurement playbooks. The role requires deep statistical knowledge, strong storytelling to executives, and the ability to