Junior Data Scientist

6 meses atrás

Lisboa, Portugal Airbus Tempo inteiro

**Job Description:
Join the Airbus Human Resources (HR) community as a **Junior Data Scientist **and contribute to our digital transformation

Do you want to play a proactive role within the People Analytics team to strengthen our data science capabilities?

Do you have a strong background in applied mathematics and Python in order to help us build predictive scenarios for key projects?

Are you motivated to dive into the various Airbus Data and create use cases together with our HR professionals?

Interested in interacting as a stakeholder within a multi-functional team to coordinate between HR business, IT counterparts and in connection with the data science community to strengthen People Analytics with the state of the art technology?
- You will take an active stake in spreading data science awareness within the HR community.
- Jointly with the HR experts, you will identify use cases where Predictive/Correlation Analysis, Simulations, or Classification approaches will bring benefits to the function.
- As a data scientist, you are responsible for building end-to-end AI models and to share them in a comprehensive manner to our business counterparts.
- You will be a part of a team of data analysts and data scientists working in an agile mode.
- This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

**Technical skills:
Essential:

- Advanced experience in Python Classes/Objects with knowledge on GPU-based parallel and GPU-accelerated computing.
- Mastering Machine/Deep Learning models and Large Language Models (LLMs).
- DevOps tools including Github and PyTest.
- Visualization tools including Spotfire and QlikSense.

Desirable:

- Experience with HR Reporting Systems (Workday, PRISM, SAP BI)

Soft skills:
Essential:

- Ability to adapt in a rapidly changing environment.
- Structured, self-organized and collaborative way of working.
- Strong communication towards diverse audiences (incl. senior management) and strong networking skills.
- Hands-on, pragmatic approach to building digital products (hacker / entrepreneurial mindset).
- Creativity and aptitude for problem solving.
- Innovation leadership: deploy appropriate innovation methods, techniques and tools to support an innovation opportunity lifecycle phase.
- Customer oriented mindset, ability to provide user-centric solutions.
- Good level of spoken and written English.

Desirable:

- Knowledge of HR business basics and GDPR would be a plus.

**Experience**:

- 2 to 3 years of experience in Data Science

**Benefits - what’s in it for you**
- The chance to work in a multicultural environment.
- The opportunity to grow your skills and capabilities thanks to our Airbus learning offer (digital solutions, classroom sessions, certified training....) and career opportunities across the globe.
- 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.
- Work in a balanced environment: Beyond the many benefits offered to its employees, joining Airbus is also the guarantee of a respectable work-life balance. At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

**Company**:
Airbus Portugal SA

**Employment Type**:
Permanent**Experience Level**:
Professional

**Job Family**:
Digital

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

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