Sopra Steria offers tailored, end to end corporate technology and software solutions to help clients make bold choices and deliver results. Successfully so! With more than 56.000 colleagues in 30 countries, we rank as Europes leading digital solutions provider. Some of the most successful companies in Europe rely on our technology due to our commitment to innovation, collaboration, and value in business development.
The world is how we shape it. Lets shape it together.
Job Description
Are you brimming with fresh ideas to lead our Data Science team in providing data driven solutions to our customers based on the latest machine learning models and deep learning algorithms?
As a Senior Data Scientist, you will dive into the world of artificial intelligence. You will apply your skills to real scenarios and in different domains, such as drug discovery in healthcare, fraud detection in banks, the development of recommendation systems in the retail sector, and more.
Qualifications
Were seeking passionate colleagues who are eager to push the boundaries in digital transformation and technology consulting. At Sopra Steria, youll have the opportunity to grow your skills in a constructive, collaborative team environment, working on impactful projects that drive change for our clients. If you thrive on challenge and meet (most of) the qualifications below, we look forward to your application!
You are fully convinced that data science isnt a hype, but you also believe that, in order to be valuable and really make a company smarter, it must be done right. Your goal is therefore to create the most impactful solution possible in the quickest and easiest way possible so that real value can be extracted from data and artificial intelligence.
Youll have knowledge and experience of the following:
1. At least 7+ years of experience in Data Science.
2. You coordinate the development and implementation of solutions with machine and deep learning at our customers.
3. You assess the quality and performance of existing predictive models.
4. You lead a team of talented Data Scientists.
5. Master''s degree (or equivalent through experience) in a field that is highly data driven.
6. Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning.
7. Experience in one of the following languages: Python, R, Spark, Scala, Java or C++.
8. Extensive experience in building and implementing advanced analytics solutions backed up with some reference cases.
9. Well versed in open source software and libraries in Python and/or R for machine and deep learning.
10. Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus.
11. You are re