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Data Engineer

Overview

This is a collaborative role working alongside the media strategists and analysts to execute multi-brand strategies for a large consumer product client. Having a strong background and understanding of data-driven marketing, this person will be responsible for executing analytical projects alongside a lead data scientist that will influence the media plan and performance. As this role is across multiple projects, the ability to manage workload and expectations is critical. 

Key Responsibilities
This role requires a good understanding of all phases of the analytic process including data collection, preparation, and modelling, evaluation, and insight generation. The creative use of data / data sources is a must, the candidate should have not only a strong analytical mind but also to be resourceful when it comes to solving problems with limited initial data.
The candidate need to demonstrate a high level of expertise in the use of machine learning and statistical techniques. Skills in deep learning, data mining, knowledge extraction and graph theory are also highly desirable.

Skills/Requirements
•Master’s degree or above in Computer Science /Artificial Intelligence/ Machine Learning/Applied Statistics/ Physics/ Engineering or related field.
•Minimum of 1-2 years’ experience with programming languages such as Python (preferred), R, or equivalent.
•Experience with both descriptive and predictive analytic techniques including clustering, regression, classification methods, etc. (Data Mining /Machine Learning)
•Data extraction from structured/unstructured sources; extracts data from API’s across a range of social platforms – JSON, XML
•Good data manipulation skills using SQL based databases 
•Experience building customer-level marketing and analytic tools including customer segmentation and performing attribution modelling, media mix modelling, statistics/econometrics
•Experience with data visualization and analytic techniques using tools such as Python/R (for visualization purposes), Tableau (Preferred)
•Basic understanding of Text Mining , Natural Language Processing
•Preference for candidates with experience working for a FMCG company on the client or agency side
•Experience working with Big Data, cloud based and open source technologies including  Apache Hadoop (including HBase, Hive, Mahout and Pig) , Amazon Web Services  and/or ideally use of Google Big Query and Google Cloud Platform preferred
•Use of  NoSQL technologies like MongoDB or Graph Databases (e.g. Neo4J) a plus
•Working knowledge of digital analytic solutions including Google Analytics, Adobe Analytics and BrandWatch preferred.

About DigitasLBi

 

We have 40 offices in 25 countries, each one helping to upend and redefine the landscape of strategy, creativity, media and technology. We’re pumped about the accolades we’ve earned – cue Titanium Lions, Gold Pencils and making LinkedIn’s Most InDemand Employer List of 2014 – but what energizes us most is the people we work with, the clients we work for and the never-ending challenge that confronts us: Producing amazing creative, day after day. On top of great values, great people and great clients, we’re proud to offer many great perks – things like flex vacation days, tuition reimbursement, gym membership discounts and anniversary gifts for the many people who’ve been with us 5, 10, 20 years and more. And while we celebrate those who’ve stuck by us and shaped us into the creative force that we are today, we’re always looking for great new talent help us grow even stronger. If that’s you, well, come join us.

DigitasLBi is an equal opportunity employer.

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