CL
Compass LexeconData Scientist
Data Scientist joining a leading economic consultancy to implement data science solutions for business challenges and advance thought leadership in advanced analytics.
About the role
- Deliver business impact through AI products and services across the entire Airbus commercial aircraft value chain
- Partner with business functions to absorb domain expertise, build analytical insights and translate business challenges into AI opportunities
- Carry out hands-on, end-to-end AI/ML model development from ideation, exploration and feasibility studies to design, development, deployment and monitoring of scaled AI services
- Support AI capability teams in defining and delivering AI capability roadmaps across computer vision, knowledge extraction, time-series anomaly detection, decision making and hybrid modeling
- Target reusable services and components consumed by a wide range of IT products
- Evangelize and establish best practices and guidance on delivering and running AI solutions in the Airbus Lisbon office
- Engage in the global AI and analytics community and grow the local community footprint through project showcases and knowledge sharing
- Work collaboratively with international cross-functional teams of data scientists, software engineers and product managers across Europe and India
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
- Awareness of potential compliance risks and a commitment to act with integrity
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 Nações, 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.
- Flexible working arrangements where possible.
Job title
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Experience level
Salary
Not specified
Degree requirement
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CL
Compass LexeconData Scientist
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