We are Assembly – and we’re not like the rest. We’re the modern alternative agency, bringing together industry-leading data, talent, and tech to Find the Change That Fuels Growth for the best brands on the planet, including Lenovo, Lane Crawford, Marina Bay Sands, and more. Our diverse, global community of over 1,600 passionate experts combines global thinking with unmatched local expertise in more than 20 markets worldwide – enabling brands to engage and move consumers anywhere. We use STAGE, Assembly’s proprietary, privacy-centric data solutions platform, to surface powerful insights that transform into actionable brand opportunities. We’re at the cutting edge of new media, technology, and platforms embedded in the lives of today’s consumers, and we’re tapped into how culture and communities’ needs change. We do this while staying steadfast in our commitment to Leave the World Better Than We Found It through measurable social and environmental impact work.

Assembly was named The Drum’s APAC Media Agency of the Year in 2021

WHO WE’RE LOOKING FOR

We are seeking a highly skilled and experienced Data Scientist to join our dynamic APAC Data Consultancy team. The ideal candidate will have a strong background in statistical analysis and applied machine learning experience in the marketing space, including hands on experience in one or more of these fields: incrementality or uplift testing, causality testing, marketing mix modelling, and multi-touch attribution modelling.

As a Data Scientist, you will be working on problems that require both creativity and analytic rigour. You will be responsible for helping drive product adoption and partnering closely with cross-functional teams including Consulting, Product, and Media teams.

• Work across teams to develop our data science product set and grow the department globally.
• Identify opportunities for new products and services – particularly capitalising on the evolving landscape around data privacy and measurement.
• Directly support key global and regional clients, both as an added value service and for commercial consulting opportunities.
• Own, manage, and contribute to large and challenging client projects.
• Guide and support regional teams in their own Data Science delivery, ensuring they are presenting consistent and compelling work.