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Data Scientist Developer for Advanced Systems
1 week ago
Terma A/S is a leading provider of advanced technologies and mission-critical solutions for the defense and aerospace industry. Our systems provide security for people on land, at sea, and in the air. We are engaged in reaching new frontiers and enabling people on our planet to deal with new challenges.
Team Overview
- We are a team of highly skilled, innovative, and passionate professionals dedicated to developing cutting-edge data science solutions.
- We value collaboration, knowledge sharing, and fostering a supportive working environment with a high level of psychological safety.
- We celebrate diversity and are committed to creating an inclusive environment for all employees.
Job Description
You will be responsible for designing, developing, and implementing robust data science solutions. You will collaborate with cross-functional teams to translate business requirements into scalable data science solutions. Your expertise will help us leverage data science technologies effectively, ensuring our products are powerful, user-friendly, stable, reliable, and secure in mission-critical situations.
Key Responsibilities
- Design and develop scalable data science solutions, including infrastructure, data pipelines, and integration frameworks.
- Work closely with software developers, system engineers, testers, and product managers to develop business requirements and deliver integrated data science solutions.
- Ensure the performance, scalability, and reliability of data science solutions through continuous optimization and innovation.
- Stay current with data science technologies and industry trends, evaluating and integrating new tools and techniques as needed.
- Mentor and guide engineering teams in best practices for data science development and deployment.
- Implement, test, and maintain machine learning models in a production environment, ensuring they meet performance, stability, and scalability requirements.
- Collaborate on data engineering efforts to build robust data pipelines and ensure data quality and accessibility.