Data Scientist

Hong Kong, Central, Hong Kong

Assembly

Assembly is a global omnichannel agency with over 1,500 people, delivering media, data, technology, and business consultancy solutions to brands.

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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 Adobe, 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.

 

 

Key Responsibilities

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.

 

Requirements

Essential

·       Minimum 4 years’ experience using data mining/analytical methods, preferably in marketing, market research, and/or financial concentrations.

·       Demonstrable experience of solving business challenges using technical acumen and/or mathematical or data science methodologies.

·       Excellent project management skills, experience working in an Agile environment.

·       Excellent communication skills and strong experience of managing business communications and presentations.

 

Preferred

·       A practical understanding of how digital marketing works and common challenges facing Marketers.

·       Experience working with senior stakeholders at scaled global clients, preferably in a marketing or marketing science context.

·       Experience working with Econometrics or Media Mix Modelling.

 

Skillset

Essential

·       Exceptional analytical thinker with a passion for using data to solve business problems (>4 years of experience in product analytics or Data Science).

·       Extensive knowledge and experience working with Python and R with exposure to relevant machine learning and statistical libraries

·       Charismatic storyteller ready to lead growth conversations with senior leadership.

·       Knowledge of SQL and hands-on experience with large relational databases.

·       Use of version control (Git, GitHub) and CI/CD processes.

 

Preferred

·       Experience with platforms and data typically found in digital marketing including analytics and media serving platforms.

·       An understanding of the MarTech and digital marketing measurement landscape.

·       Knowledge around the latest data privacy and security developments in online advertising.

·       Experience working with cloud computing environments such as AWS / GCP / Azure.

 

Personal Skills

·       Friendly, approachable, and able to collaborate with both technical and non-technical colleagues.

·       Curious and proactive - continually looking for new opportunities for the Data team to work with clients and internal teams, with a desire to learn and develop innovative analytical techniques.

·       Highly organised and process driven to keep on top of multiple projects at once.

Benefits

WHY ASSEMBLY?

  • We‘re part of Stagwell (NASDAQ: STGW), the challenger network built to transform marketing. We’re nimble, smart, and digital-first, and we’re quickly growing to take on the biggest legacy holdcos. 
  • We care about your growth — we offer competitive salaries, annual compensation reviews, and keep detailed personal development plans to ensure you’re hitting your personal and company goals. 
  • We recognize and celebrate your success...all the time! Whether it’s through company meetups, employee recognition programs, or just a regular day, we make sure our people’s achievements are known and appreciated! 
  • We’re truly a people-first organization. That’s why we operate in hybrid model with flexibility, Work from Anywhere Scheme, allows you to be in control of your work-life balance. 
  • We believe in making impactful change in society, we encourage you to take Impact Leave time off from work to engage in volunteer activities with a charity that you support. 
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Agile AWS Azure CI/CD Consulting Data Mining Econometrics GCP Git GitHub Machine Learning Market research Privacy Python R RDBMS Research Security SQL Statistics Testing

Perks/benefits: Career development Competitive pay

Regions: Asia/Pacific North America
Country: Hong Kong