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Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of defence and security, aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.
In Romania, we are advancing innovation through software engineering, research and development, delivering solutions in key markets in which Thales Group operates. Our engineers design, develop and integrate solutions that impact global industries – from fully operational systems and subsystems for naval warfare and maritime security operations, to air traffic management systems, satellite-based solutions, tactical indoor simulations, identity and biometric technologies and more.
Role: Data scientist
Ready to shape robust data ecosystems for the future with Thales Romania? Join a passionate, global team at the forefront of innovation in AI, aerospace, security, and beyond. As a Data Scientist, you’ll work hands-on with the latest technologies and collaborate closely with experts from Romania and France.
About the Role:
We are seeking a highly analytical and innovative Data Scientist to join our team. You will leverage your expertise in statistics, machine learning, and data analysis to turn complex data into actionable insights and predictive models. You will collaborate with business stakeholders, data engineers, and other data professionals to drive data-driven decision-making across the organization.
Required competencies/experience:
- You have an intermediate proficiency in French, B1 minimum
- Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related field, or equivalent relevant experience.
- Proven experience as a Data Scientist or in a similar data analytics or research role.
- Strong knowledge of statistics (descriptive, inferential, hypothesis testing, etc.).
- Expertise in machine learning algorithms and frameworks (supervised/unsupervised learning, model evaluation, etc.).
- Proficiency with Python for data analysis, visualization, and modeling (Pandas, NumPy, Scikit-learn, etc.).
- Solid understanding of database systems (SQL and/or NoSQL); able to write queries and manipulate large datasets.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication skills, both verbal and written.
- Ability to work independently and as part of a cross-functional team.
- Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn, etc.).
- Familiarity with cloud-based data platforms (AWS, GCP, Azure).
- Knowledge of big data technologies (Spark, Hadoop).
- Understanding of data engineering concepts and ETL processes.
- You know how to work in a team, even remotely, and you have strong interpersonal skills
- Dynamic, ability to solve problems and move subjects forward
- If you are passionate about leveraging data, statistics, and machine learning to make an impact, we would love to have you on our team!
Key Skills
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