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Data Engineer

Detalles

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.

Sobre DigitasLBi

Tenemos 40 oficinas en 25 países, cada una apoyando para formar y redefinir el paisaje de la estrategia, creatividad, media y tecnología. Estamos muy entusiasmados con los premios que hemos ganado – como por ejemplo “Titanium Lions”, “Gold Pencils” y “LinkedIn’s Most InDemand Employer List of 2014”. Pero lo que más nos energiza es la gente con la que trabajamos, nuestros clientes y el reto interminable que afrontamos: Producir increíbles ideas creativas, día tras día.

Además de grandes valores, grandes personas y grandes clientes, también tenemos un montón de ventajas que estamos orgullosos de ofrecer - cosas como días de vacaciones flexibles, reembolso de matrícula, descuentos de abonos de gimnasio y regalos de aniversario para las personas que han estado con nosotros más de 5, 10, 15 y 20 años. Y mientras homenajeamos a las personas que se han quedado con nosotros y han dado forma a la fuerza creativa que somos hoy en día, estamos siempre en busca de un gran talento nuevo que nos ayude a crecer aún más fuerte. Si eres tú, bueno, ven y únete a nosotros

DigitasLBi es un empleador de igualdad de oportunidades.

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