Data Scientist

We are a Centre of Engineering and Product Development that designs, develops and operates innovative products in the mobility industries, namely Automotive and Urban Mobility, Aeronautics, Ocean and Space.  
Today, we are defining the future of mobility, as well as building advanced space systems and state-of-the-art aircrafts, while working towards a better, brighter and sustainable future here on earth.
CEiiA exists for the love of engineering.
Our mission is to be a global platform of engineering and product development that senses the future, portrays shifts and performs opportunities through the development and the market of new products and services.
We're an organization for planet earth committed people, bringing together an amazing innovative community.
More than good professionals, we hire awesome people.
Our people are the core of our business accomplishments.
Our teams are diverse and we welcome one´s individuality, empowering differences.
We value different expertise and outlooks, generating an all-round habitat for each person.

·       Integrate a dynamic and multifunctional team.
·       Have the opportunity to constantly research and investigate innovative technologies, models and ways to resolve problems.
·       Develop from scratch models and algorithms for the new projects of the team, from precision agriculture, images analysis on and from satellites, big-data for smart cities.
·       Maintain and improve models of current and previous projects.
·       Develop the with Data Engineers proper definition of pipelines to run our models.
·       Help with data analysis and visualization.
·       Report to the Data Science lead and support junior element of the team.
·       MSc or Ph.D. in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Engineering or similar.
·       5 years' experience in a Data Science related role with a product mindset.
·       Fluent in Python, R and ML packages (eg. Pandas, NLTK, spaCy, scikit-learn, Gensim, Keras, TensorFlow, forecast, data.table, and caret).
·       Experience with image processing.
·       Used to build and deliver ML products.
·       Experienced in English (both written and spoken).
·       Good communication skills and team player.
·       Problem-solving skills.
Above average package
We facilitate and promote a balanced and healthy lifestyle by articulating work with personal life.