Publicis Communications is the creative communications hub of Publicis Groupe, bringing together the Leo Burnett, Saatchi & Saatchi, Publicis Worldwide, BBH, Marcel, Fallon, MSLGROUP, Digitas/Arcade and Prodigious networks

Present in over 100 countries, Publicis Communications aims to deliver transformative work to its clients and to attract the best talents in the industry. Publicis Communications draws upon the expertise of over 30,000 employees.

"Our ambition is to be the indispensable creative partner to our clients in their own transformation, by delivering seamless access to the creative firepower of our networks through end-to-end platforms linking consumer insight, brand knowledge and creative ideas, boosted by data and technology."​

Arthur Sadoun- CEO Publicis Communications

 

Overview:

Digitas is a highly-caffeinated playground where brilliant minds come together to make bold, award-winning marketing. We use data-driven insights to guide our work, but we also believe in a healthy dose of spirited storytelling as we strive to transform the marketing landscape.

As part of Data & Analytics (DNA) our Data Science teams develop industry-leading analytic solutions for clients across industries, channels, and business functions. We apply a bespoke and cutting-edge arsenal of statistical, analytical and computing techniques to complex data problems at scale, with the emphasis on game-changing - and measureable - business impact. We work in close collaboration with colleagues across all agency disciplines to develop truly innovative, highly effective, data-powered solutions for our clients.

To help with this, we’re looking for an outstanding Lead Data Scientist – an experienced problem solver and passionate evangelist of all things data, including the latest and greatest in methods, technologies and applications. Sound like you? Read on.

Data Scientists provide a wide range of analytic solutions for a multitude of client applications. We build inferential and predictive models, including machine learning algorithms and AI; we process, integrate and manipulate big data with distributed systems and customer data pipelines; we synthesize results and translate findings and into compelling stories that resonate with clients.

As Lead Data Scientist, you are our internal expert. You will develop and implement multi-faceted solutions for complex marketing and business challenges—from cross-channel media and customer experience optimization to segmentation, targeting and business strategy - synthesizing just the right elements of our technical and analytical offerings.

The role maintains a primary responsibility in Singapore. The role will also support and be supported by the network as part of the Publicis Spine global data community.

Day-to-day, your role includes:

ª End-to-end ownership of analytical projects involving data engineering, data mining, statistical modeling, and business strategy

ª Internal expertise in fundamental skill areas such as statistical methods, distributed computing, machine learning, AI, and open source programming

ª Thought leadership and innovation in process, technique, and implementation.

ª Summarizing, visualizing, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences.

ª Translating marketing and business questions into data queries.

ª Interpreting data, analytical results and visuals to generate conclusions and recommendations

ª Sharing knowledge, debating techniques, conducting research to advance the collective knowledge and skills of our Data Science practice.

Required experience and skills:

We’re looking for rigorous analytic training and 7+ years professional experience in a data science or analytics role, which typically includes:

ª Robust domain expertise in areas of statistical methods, distributed computing, machine learning, AI, and/or a variety of open source programming languages

ª Experience implementing a range of statistical or machine learning methods, from basic descriptive statistics, hypothesis testing and feature transformation to complex dimension reduction, supervised or unsupervised learning, and model tuning and validation.

ª Proficiency in Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and/or Spark preferred.

ª Demonstrated ability to communicate complex technical concepts to non-technical audiences

ª Experience integrating a variety of data sources, methods, and applications to achieve specific objectives

ª Demonstrated passion for marketing analytic applications

ª Demonstrated self-starter who thrives in a fast-paced environment with limited