At Capgemini Consulting, we live and breathe digital and data! With over 3600 Consultants around the world, we help our clients unleash the power of innovation and capture new opportunities by unlocking the challenges of their transformation.
Supported by the massive infrastructures and resources of the Capgemini group and its 190 thousands employees – one of the world’s leading technology company – we’ve designed a unique ecosystem of talented individuals to accelerate digital and data driven solutions.
In fact, we strongly believe that cracking the data problem for our clients is not limited to building a POC or a feasibility study on a predictive model. It’s about harnessing the complete data value chain. From incubating new business models to the industrialization of MVPs, we lead our clients in the design and implementation of their digital strategy in a « fail fast, succeed even faster » experimentation mode.
Are you ready to join « the insighters », the core data team of our vibrant community of Hybrid Data Consultants, Data Scientists, Data Engineers, Cloud Architects, DevOps Engineers, Full Stack Developers & UX designers? Are you willing to tackle real-world decision-driven data problems? Search no more and apply for this exciting position!
Your Future Role
There is no typical day at Capgemini Consulting, and we wouldn’t have it any other way. As a Data Scientist, you will be part of a close-knit team working on data-driven end-to-end projects, from setting up the data strategy to make it live, and your agenda will be very much dependent on your current mission and on the client’s needs, exclusively driven by your ability to make an impact in this ever-changing environment.
Some of your day-to-day responsibilities will be to:
Understand and scoping your clients’ business needs
Structure a cutting edge data-centric approach to address identified needs
Collect data (both internally & externally, using open data and scraping in particular) as well as audit it
Wrangle and prepare data – both structured and non-structured
Implement machine learning algorithms and relevant operational research
Exchange with the clients on insights and consequences
Synthesize and delivering results to our clients
Ramp-up big data & data science skills among our client organization
Internally, you’ll be expected to:
Invest on a weekly basis dedicated innovation time to work on proprietary data science assets
Participate in business development activities, like responding to digital and data-related requests for proposal
Gather business intelligence on the data ecosystem
Structure and share your knowledge in the form of training modules for internal upskilling purposes
Participate in data events
At Capgemini Consulting, we nurture our most important asset: the human brain. This is why we invest heavily in training, both on technical expertise domains, but also on business and personal development skills, which are key to our success.
Data Scientist, v 1.4
You have an exceptional academic background, graduating from a top tier school, with a MSc or a PhD in Computer Science, Machine Learning, Applied Statistics or Mathematics
Even if your major is not Machine Learning related, any relevant training completed online through a MOOC platform (Coursera, EdX, Udacity, etc.) will be valued accordingly
You have a first experience (including internships) as a Data Scientist working on real-life models.
You master reference learning techniques and algorithms both supervised and unsupervised
You have a « Sixth Sense » for data.
You have a strong business sense, allowing you to apprehend the client’s needs
You know how to translate a business problem into a model and an algorithmic strategy
You have solid statistical programming skills (R and/or Python, whatever your religion is)
You know SQL inside out
You’re an expert in several of these domains:
o Algorithm design and data workflow in distributed environments (MapReduce, Spark)
o Text mining and more specifically Natural language processing
o Image manipulation
o Data Visualization techniques & tools (Tableau, Spotfire, Power BI, D3.js, etc.)
o Cloud environments (AWS, Azure, Google Cloud)
More generally speaking, we’re looking for « T-Shaped » generalists Data Scientists, with a deep expertise in a specific area.
You have outstanding communication skills, with a strong ability to summarize and share the results of your work to non-experts
Furthermore, you are a team player, self-starter, enthusiastic, fluent in English, with an exceptional attention to details and a strong desire to put your open mindedness and your drive to the service of our clients.
Your unquenchable thirst for knowledge combined with your unparalleled analytical skills, will be a perfect fit for the insighters, where your will have a unique opportunity to prove your worth in a highly challenging environment by leveraging your results-oriented mind to deliver outstanding value for our clients.
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