Lead Data Scientist

OVERVIEW

Data & Analysis – Lead Data Scientist

 

Digitas is a highly-caffeinated playground where brilliant minds come together to bring bold, award-winning ideas to life.

 

The Data & Analysis team uses data-driven insights to fuel strategic growth for clients. We believe that data should never exist in a vacuum; instead, it should be put to work to bring the best ideas and stories to our clients.

 

Digitas’ Data Science practice sits within our DNA (Data & Analysis) capability, and develops industry-leading analytical 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 an 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.

 

What you’ll do:

 

Our Data Scientists deliver analytic solutions across a wide variety 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 into compelling stories that resonate with clients.

 

As a Lead Data Scientist, you are our internal expert.  You’ll 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.

 

Day-to-day, your role includes:

 

·        Owning end-to-end analytical projects involving data engineering, data mining, data modeling, and business strategy.

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

·        Providing thought leadership and innovation in process, technique, and implementation. 

·        Collaborating with internal and external stakeholders to establish clear analytical objectives, approaches and timelines.

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

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

 

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

 

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