Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

The Data Science is part of the Smart Shared Service Centre, which is the global technology development centre for Valeo Services. The data science team will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

• Mine and analyze data from company databases and other sources to drive optimization and improvement of product development, marketing techniques and business strategies.

• Assess the effectiveness and accuracy of new data sources and data gathering techniques.

• Develop custom data models and algorithms to apply to data sets.

• Develop custom machine learning models and algorithms to apply to data sets

• Develop and conduct data cleansing tasks, processes and tools to the data sets 

• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

• Develop processes and tools to monitor and analyze model performance and data accuracy.

• Responsible of delivering workable releases and packages based on agreed commitment and plans.

• Ensure the performances/quality of the product/application developed

• Follow Agile and Design Thinking methodologies

• Contribute to full collaboration between the project actors (UX design, UI design, management, marketing, communication…)

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Professional Experience:

The candidates should have from 5 years of experience, with most of these qualities:

• Data-oriented personality

• Eager to research and learn in a self-directed way (always improving)

• Good communication skills

• Excellent applied statistics skills, such as distributions, statistical testing, regression, etc.

• Technical Experience in Modelling, BI, big data and data mining is a plus.

• Discipline, methodological, transparent, empowerment and team playing is a core needed skills.

• Mastering with common data science toolkits

• Mastering with data visualisation tools

• Mastering using query languages such as SQL

• Experience with NoSQL databases

• Skilled in scripting and programming skills

• Proficiency in machine learning techniques and algorithms

Job:

R&D Engineer

Organization:

Software Development

Schedule:

Full time

Employee Status:

Regular

Job Type:

Job Posting Date:

2024-02-22

Join Us !
Being part of our team, you will join:
- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development
- a multi-cultural environment that values diversity and international collaboration
- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
- a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development

More information on Valeo: https://www.valeo.com