Data Science Manager (Luxembourg)
Data Science Manager (Luxembourg)
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Job Description
About the job
Our client
A space and data analytics company building a new Earth Observation constellation and software to unlock the power of thermal infrared imagery. Their mission is to capture and deliver high spatio-temporal resolution thermal infrared data currently not available from other sources to provide insights that benefit the environment enhance food and water security and serve other critical applications.
You are
A bright creative and ambitious individual who can work in a dynamic and collaborative start-up environment. The is determined to change the way people use space imagery and revolutionize agriculture. Join us on this mission and help transform the world.
What youll do:
As a Data Science Manager you will lead and mentor a team of data scientists developing and delivering high-quality scientific models and solutions. You will work closely with cross-functional teams including product and program management and translate business goals into reliable scalable systems. Your role will involve hands-on technical guidance development code reviews and supporting the growth of your team.
Responsibilities
- Drive scientific innovation and improvements
- Ensure the teams work quality is high and adheres to industry standards
- Review architecture and design decisions
- Define team and individual objectives and key results
- Coach and mentor team members
- Define team processes and best practices
- Lead proposals for research and development activities
- Provide support with hands-on coding help the team with critical tasks and code reviews
- Facilitate communication within the team and with other stakeholders
- Foster a positive team culture
- Hire onboard and retain scientific talents
- Conduct performance reviews and provide feedbacks
Requirements
- 10 years of data science experience with a solid understanding of data science principles and practices
- 2 years in a leadership role with proven experience in building and coaching high-performing data science teams including defining team objectives and aligning them with organizational goals
- Experience in Earth observation geospatial imaging science or computer vision fields
- Knowledge of supervised and unsupervised learning techniques and principles including regression classification clustering and recommendation systems
- Proficiency in statistical analysis hypothesis testing and experimental design (e.g. A/B testing)
- Experience working with cloud services and infrastructure
- Demonstrable experience building effective working relationships with engineering teams
- Strong team player with demonstrated ability to take ownership and drive execution
- Excellent organizational and communication skills
- Proficiency in English (written and spoken)
Additional Desired Qualifications
- Masters or PhD degree in environmental sciences mathematics physics or relevant engineering field
- Experience with geospatial and earth observation tools including satellite data processing Rasterio/GDAL and GIS tools
- Knowledge of surface energy balance modeling soil physics hydrology or related domain
- Experience with advanced modeling techniques like deep learning (e.g. neural networks CNNs RNNs) and ensemble methods
- Understanding of MLOps best practices for monitoring versioning and maintaining models in production
- Experience with High Performance Computing (HPC) platforms
- DevOps experience (Docker Kubernetes)
Why join EOLEN
Long-term assignments with major CAC 40 companies
Personal support with close monitoring by our business engineers
Career advancement thanks to the diversity of IT sectors and projects
Demanding technical environments to develop your skills
Attractive compensation that recognizes your expertise
Use your vigilance and rigor to ensure the real-time availability of IT systems. Join a team committed to the continuous monitoring and reliability of critical IT environments.
Employment Type
Full Time
