Manager in Data Science developing best in class strategies for insights and analysis activities on assigned clients. Managing the team and serving as a point of escalation as needed.
About the role
- Data Scientist AI developing end-to-end AI solutions for Airbus. Partnering with business functions to translate challenges into AI opportunities and support AI capability teams.
Responsibilities
- Partner with business functions on missions to absorb domain expertise and priorities, build analytical insights and translate business challenges into AI related opportunities that you will tackle with our wider team.
- Carry out hands-on, end-to-end AI / ML model development from early ideation, exploration and feasibility studies on to design, development, deployment as well as monitoring of scaled AI services.
- Support our AI capability teams in defining and delivering on AI capability roadmaps (built around 5 technology pillars: computer vision, knowledge extraction, Time-series anomaly detection, decision making and hybrid modeling) that target reusable services and components which are consumed by a wide range of IT products.
- Representing the central AI organization, evangelize and establish best practices and guidance on delivering and running AI solutions in the rapidly growing Airbus Lisbon office.
- Engaging in the global AI and analytics community as well as growing the local community footprint, through holding project showcases, sharing expertise as well as best practices.
Requirements
- 3+ years industry experience in data science, AI or a similar field with a track record of end-to-end model development and handling large data-sets.
- Strong, fundamental understanding of common ML algorithms.
- Bachelor’s, Master’s or PhD degree in Computer Science, Data Science, Statistics, Engineering, Mathematics or a related quantitative discipline.
- Deepened knowledge in at least one of the following fields: NLP, Computer Vision, Time Series Analysis.
- High Proficiency in Python including relevant open source libraries such as Pandas, Scikit-Learn, Tensorflow and PyTorch.
- Fluent in written and spoken English.
- Experience in customer facing roles focused on business impact and managing expectations.
- Experience in process analysis and process optimization including methodologies such as value stream mapping.
- Development and deployment of models in cloud environments like AWS, GCP or SAP.
- Agile and product-oriented development.
Benefits
- Diverse career opportunities within Airbus European core countries or in other regions around the world.
- A hybrid working model, allowing you to combine onsite and offsite work.
- A modern office at Parque das Nacoes, well connected to public transportation.
- A motivated and fun crew to grow and build and shape the GBS together.
- An intense and exciting onboarding experience.
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