Publicis Media is one of the four solutions hubs of Publicis Groupe[Euronext Paris FR0000130577, CAC 40], alongside Publicis Communications, Publicis.Sapient and Publicis Healthcare. Led by Steve King, CEO, Publicis Media is comprised of five global brands, Starcom, Zenith, Spark Foundry, Blue 449 and Performics, powered by digital first, data driven global practices that together deliver client value and business transformation. Publicis Media is committed to helping its clients navigate the modern media landscape and is present in more than 100 countries with over 17,500 employees worldwide.

We are built on the foundation of Trust, Talent, Transformation:

TRUST
Trust is the cornerstone upon which we build our relationships. We hold ourselves to the highest standards of how a partner should behave.
We treat our people and our clients with respect, transparency and honesty.

TALENT
This is first and foremost a people business. We are committed to ensuring Publicis Media a destination for the best talent in our industry. We value people as individuals, growing ourselves as we grow our client’s business.

TRANSFORMATION
True transformation comes when we stop managing change, and instead initiate change. We believe in our purpose to be the admired force for business transformation. We believe that focusing on performance and results has the power to transform client business.

Working in a highly collaborative environment, you will support product innovation and customer engagements, partnering with the engineering, customer engagement and product management teams to prototype and launch data-driven features and products. You will need to coordinate your efforts within the team, possibly mentor and develop junior staff, and participate in development and direction setting initiatives. You will need to be entrepreneurial, pro-active and able to work with business line leadership to understand business needs and opportunities in order to provide data science-led solutions.

The core of this job comprises three elements:
1.    Defining the problem:
•    You will be working directly with the business to define applications which will have a major impact
•    To do this you need to go beyond “how can I help” to establish what the required end-result will be and what needs to be done to achieve it
2.    Data sourcing:
•    We have data, lots of it. Access to a combination of first- and third-party data sets is the key to our capabilities
•    You will need to be hands on with handling, sifting and transforming massive amounts of data to extract information.
3.    Technology:
•    We use state-of-the-art technology to achieve its aims. We use the best tools for the job and can bring in new technologies as required
•    To be successful in this role it is vital that you are highly proficient in using the appropriate technologies and their related packages to deliver robust solutions

Team Department/Profile
The team is a diverse group of machine learning, AI, NLP and other data science experts. We work closely with the core businesses to conceive and produce innovative data applications, creating value for the group and potentially disrupting current processes and business models.
We work directly with various business units across the entire group and work with stakeholders to identify and understand problems, propose solutions, and then deliver those solutions to a production standard within mission critical environments.

Key Responsibilities
•    Research & develop methods and lead investigations for measuring and analysing multiple streams of data
•    Lead, mentor and train a growing team of mid-, junior-data scientists, developers and analysts.
•    Report and present findings and developments including results clearly and efficiently, verbally and in writing
•    Develop distributed and scalable software solutions to build data pipelines and produce interactive visualisations
•    Write infrastructure as code and carry out automated tests before deploying to production systems
Implement solutions using various algorithms and enhance existing systems through efficient optimisations
•    Contribution to open source projects and strong publication history will an added advantage

•    A doctorate or equivalent experience in in Machine Learning, Computer Science, Mathematics or quantitative discipline
•    Professional experience in a data scientist or a related software engineering role
•    Competence to commission, interrogate, deploy, and assure advanced predictive analytics and machine learning models, such as Bayesian models, natural language processing and reinforcement learning
•    Comfortable mining unstructured data and ingesting data from various sources such as REST/SOAP frameworks
•    Familiarity with computer vision paradigms will be a good to have
•    Experience with popular data analytics and modelling packages.
•    Deep understanding and hands-on experience with optimization, data mining, machine learning, deep learning and natural language processing techniques
•    A passion for innovating with data science at scale - applying modern or novel algorithms to massive datasets and creating measurable business value
•    Ability to personally put together a system of 'disjointed' components that implements a working solution to the problem

You will also have:
•    Experience in building highly scalable software solutions various using software architecture
•    Experience in various types of programming (imperative, object oriented, functional and declarative)
Experience working in a multi-threaded & concurrent environment and with non-blocking & event based systems Have knowledge of Software Design Patterns and Enterprise Architecture Patterns
•    Strong knowledge of automation tools and testing tools (e.g. Chef, Puppet, Selenium)
•    Have used continuous integration, version control systems and cloud based services (e.g. Windows Azure, Amazon AWS, Docker, Kubernetes)
•    Familiarity with a wide variety of open source tools to carry out data warehousing
•    An understanding of rapid application development approaches and techniques for mission critical solutions