Data Science Manager

il y a 2 semaines

Luxembourg Hydrosat Temps plein

We are looking for bright, creative, and ambitious people who can work in a dynamic and collaborative start-up environment. Hydrosat is determined to change the way people use space imagery and revolutionize agriculture. Join us on this mission and help transform the world.

**What you’ll 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 team’s 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 talent
- Conduct performance reviews and provide feedback

**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**:

- Master’s 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)

**Benefits**
- Attractive compensation.
- Stock option plan.
- Fast paced and dynamic start up environment.

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