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:
We’re looking for rigorous analytic training and 7+ years professional experience in a data science or analytics role, which typically includes:
Got what it takes? We’d love to hear from you.