Lead Data Scientist, Data & Analytics

DETALLES

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