At Capgemini Engineering we value excellence, care, responsibility, dynamism and innovation. We offer a job with variation that leaves plenty of room for initiative and development. In fact, we are not just offering you a job, we’re inviting you to be part of our community where we will provide you trainings, tools & grounds for professional and personal growth. Each career experience is assorted by an attractive salary package.
Your role:
As a data analytics consultant it is expected that you have a very good understanding of mathematical and statistical apparatus. Scripting skills are your main tool on a daily basis, so knowledge of programming languages and software development skills are highly desirable. The primary work environment and activity of our team is linked to engineering: therefore knowledge and understanding of physics, mechanics, electronics or related is considered as a big plus.
Among others, the expected responsibilities read as follows:
- Make use of programming and scripting skills to collect and preprocess raw data sources
- Develop and implement databases for efficient storage and management of data
- Use of statistical methods to analyze and generate useful insight from data
- Build and train mathematical models for forecasting and classification analysis
- Propose innovative ways to answer complex engineering challenges
Your profile:
Required technical qualifications:
- Master’s Degree or PhD in applied Physics, Mathematics, Computer Science or related
- Experience in data analytics related activities
- Good theoretical & practical knowledge in statistics
o Statistical hypothesis testing
o Regression methods for testing and inferring
o Associative and causal relationships
o Bayesian statistics
- Good knowledge of programming languages like R, Python, MATLAB
- Algorithm development and time series data analysis
Desired technical qualifications:
- Cloud technologies
o Azure Microsoft
o Hadoop, Spark
- Database technologies both relational (MySQL, PostgreSQL, SQLite) and non-relational (MongoDB)
- Supervised and unsupervised machine learning (classification/clustering, regression, pattern recognition)
If you are a team player, if you recognize yourself in this profile and are not afraid of taking on challenges… Apply today!