Staff Marketing Scientist

Snap Print Solutions; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Snap Inc. in Singapore is seeking a Staff Marketing Scientist to lead measurement strategy and operations for key advertisers across Australia and India. You will drive causal analytics, design experiments, and develop learning plans to improve ads efficacy and ROI.

You will partner with Sales leadership and cross-functional teams to position Snap’s ad products, build measurement playbooks, and elevate measurement capabilities within the organization.

Qualifications

• Bachelor’s degree in a quantitative or business field.
• 10+ years of advanced analytics and measurement experience.
• Experience in ads measurement.

Responsibilities

• Own measurement strategy, operations, goals, and learning plans.
• Drive performance improvements through learning agenda and causal analytics.
• Collaborate with Sales leadership in Australia and India to position Snap’s ad products.
• Lead quarterly business reviews and communicate trends.
• Oversee measurement operations for first- and third-party solutions.
• Conduct market- and country-level analyses and develop playbooks.
• Build measurement fluency across teams and partners.
• Serve as day-to-day measurement consultant for key advertisers.

Skills

Measurement concepts

Data interpretation

Actionable insights

Advanced analytics

Causal modeling

Education

Bachelor’s degree in quantitative field

Advanced degree (preferred)

Tools

SQL

SAS

SPSS

Job description

Snap Inc. is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

The Marketing Science team at Snap helps advertisers maximize ROI on Snap’s advertising platform through advanced measurement and analytics. We enable our Sales teams to be quantitatively driven, consultative partners to advertisers through training, tooling, and measurement best practices, and we partner closely with Product, Engineering, Strategy, and Sales to ensure Snap’s ad products are effective, efficient, and customer-centric.

We’re looking for a Staff Marketing Scientist to join our Measurement Team in Singapore. In this role, you will support the regional sales leadership and advertisers across both Australia and India. The ideal candidate will thrive in a cross-cultural environment and be able to partner effectively with stakeholders across both markets.

What you’ll do:

• Own the measurement strategy, operations, goals, and learning plans for key measurement partners or large customer verticals.

• Drive performance improvement across key measurement partners and advertisers through learning agenda development, experimental design, causal analytics, and ads efficacy solution prototyping.

• Partner closely with Sales leadership across Australia and India to evaluate, position, and improve Snap’s ad products using causal and observational measurement frameworks.

• Work effectively across cultures to support Sales leadership and cross-functional stakeholders in both Australia and India.

• Lead quarterly business reviews, highlighting industry trends, measurement adoption, learning progress, and relevant requests for extended measurement leadership and cross-functional teams.

• Lead measurement operations across first-party and third-party measurement solutions.

• Drive market- and country-level performance meta-analyses, ads efficacy research, and the development of playbooks grounded in rigorous scientific analysis.

• Build measurement fluency and capability across your team, Sales, and other cross-functional partners.

• Serve as the day-to-day trusted measurement consultant for key strategic advertiser relationships.

Knowledge, Skills & Abilities:

• Deep understanding of measurement concepts, solutions, and the statistical fundamentals that underpin the ads efficacy and measurement ecosystem.

• Ability to access, analyze, interpret, and communicate ads performance insights using a wide range of standard data science tools.

• Demonstrated ability to structure and conduct analyses that generate actionable insights and recommendations.

• Proficiency in advanced analytical tools such as SQL, SAS, and SPSS.

• Strong understanding of the industry, key verticals, and brands, with the ability to apply measurement solutions and insights creatively to improve advertiser performance and strengthen Snapchat’s value proposition.

• Ability to communicate highly complex martech and measurement concepts to executive audiences.

• Strong grounding in applied statistics, including sampling methodologies, causal modeling, time series analysis, and data mining techniques.

Minimum Qualifications:

• Bachelor’s degree in a quantitative or business field, such as economics, mathematics, engineering, operations research, or a related discipline.

• 10+ years of advanced analytics and measurement experience within a technology company, media agency, consulting firm, advertiser, or research company.

• Experience in ads measurement.

Preferred Qualifications:

• Advanced degree in business, mathematics, economics, engineering, or a related field.

• Deep understanding of the digital advertising and measurement ecosystem across both Brand and DR.

• Extensive experience working directly with top advertisers across vertical-specific Brand and DR measurement.

• Experience leading or developing teams or peers.

• Self-starter who is equally comfortable presenting to C-level executives and writing queries or code when needed.

• Proven track record of building and influencing client or partner relationships.

• Experience using agentic IDEs such as Cursor and GitHub Copilot is preferred.