Lead Data Scientist

OVERVIEW

Data & Analysis – Lead Data Scientist

 

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

 

 

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

·        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.

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

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

·        Demonstrated passion for marketing analytical applications

·        Demonstrated self-starter who thrives in a fast-paced environment with flat structure.

 

Got what it takes? We’d love to hear from you.

Digitas is an equal opportunity employer.