Data Scientist MF

Job Description:

Take off with Airbus Helicopters !

Airbus Helicopters is looking for an Data Scientist (F/H) to join our EBDE Market Execution team based in Marignane France.

Join us to shape the future of aeronautics and help protect lives during missions accomplished thanks to our helicopters.

The Marignane site the 3rd largest industrial site in France near Marseille and Aix-en-Provence is undergoing a deep transformation to offer a high-tech inclusive and environmentally friendly working environment.

You will live a unique professional experience at the heart of the manufacturing of our helicopters.

To learn more about our site and our activities : Airbus Helicopters Marignane. You will enjoy a unique professional experience at the very heart of our helicopter manufacturing operations.

To find out more about our site and activities: future missions :

The challenges of the team are to build and deploy new models & methodologies to understand anticipate and drive the helicopter market.
The team is in contact with a large audience of internal stakeholders within the group in an international context.
You now have an opportunity to join an international company with many interesting challenges in the next years & near the sea !
This position allows you to be at the heart of the companys strategic issues to be an actor in the companys decision making process.

Your main missions will be :

• Your main mission will be to develop maintain & support scientific methods and models for helicopter market forecasts and analysis. This includes the development of new econometric or optimization models and apply statistical methodologies to support the strategic decision making process of Airbus Helicopters.

• You will Analyze data properties and apply scientific methods to propose or develop solutions using statistical machine learning (AI) techniques

• Design and execute controlled experiments to identify and validate optimal solutions.

• You will collaborate with IT and Data Analysts to extract and integrate structured and unstructured data from various sources.

• You will work closely with Data Engineers to design scalable data pipelines and ensure efficient data flow for model training and evaluation.

• You will have to ensure compliance with all external and internal regulations and standards.

• You will have to create monitoring protocols to ensure models align with evolving business needs.

• You will leverage and model large diverse internal and external datasets encompassing helicopter fleet flight operations and macroeconomic/econometric data with opportunities to work on geospatial data linked to real aircraft flights.

• You will be responsible for ensuring data quality standards all along the process.

• You must have a proven ability to drive business insights with data-based insights.

• You must be comfortable working with a wide range of stakeholders and functional teams presenting different levels of understanding of technical aspects (data governance econometrics ).

• You will have the possibility to share best practices insights and techniques with the wider data community.

Your profile :

• Strong knowledge of Econometrics model (PhD ).

• Knowledge on data quality framework pipelines database management.

• Skills in different programmation languages (Python R SQL PySpark Polars )

• Excellent problem solving and analytical skills.

• Ability to work in a team-based setting.

• Demonstrated ability to communicate complex information in a condensed manner to various stakeholders verbally and in writing.

• Adaptability and a willingness to learn new skills technologies and frameworks.

• Knowledge about the aerospace domain & Data visualization is a plus.

• Advanced level of English (& French).

• You have the following interpersonal skills:

• Proven ability to work well with others able to facilitate and negotiate

• Structured organized autonomous continuous-learner

• Customer-oriented solution-minded

• Strong communication skills.

3 Reasons to join us :

Our Values : Six essential values form the core of our company. Defined for employees by employees our Airbus values shape the DNA of our business reflecting the unique mix of qualities found in each member of our global family.

Inclusion and diversity : We foster an inclusive and rewarding work environment where everyones diversity is valued and respected. An inclusive and diverse workforce is the engine of innovation at Airbus. It makes us unique and contributes to better problem-solving.

Compensation and benefits :
At Airbus we build the future together and your success is our priority.
Expect a global competitive and transparent compensation package (including salaries bonuses profit-sharing participation and preferred share ownership plan) designed to reward the impact and performance you bring both individually and collectively.
We invest in your complete well-being: professional development (training mentoring international mobility) health coverage retirement and a commitment to a supported work-life balance (parental support flexibility).

And for your daily life benefits that make a difference :

• A dynamic CSE (Social and Economic Committee) offering many advantages (company restaurant childrens leisure center associations and sports complex travel allowances etc.).

• Transport facilities: Take advantage of our company shuttles or the reimbursement of your annual transport pass.

Our recruitment process :

• 1. Apply online.

• 2. Analysis of your application by the recruitment department.

• 3. Our positions require a security clearance complete the questionnaire that will be sent to you.

• 4. Conduct recruitment interviews: HR interview and technical interview with your future manager

• 5. Receive the job offer !

Ready to take off Give a new dimension to your career by applying online now!

#LI-JC2

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

Company:

Employment Type:

-------

Experience Level:

Job Family: