Senior Data Scientist - Machine Learning (m/f/d)

OroraTech is seeking a Senior Data Scientist specializing in Machine Learning to transform geospatial and satellite data into actionable intelligence for wildfire management. Responsibilities include optimizing geospatial processes, leading projects, and mentoring team members. Candidates should have 4+ years of experience in Data Science, strong ML skills, and excellent problem-solving abilities. The position is remote and offers various employee benefits, including virtual shares and health perks.
The Mission

The climate crisis is accelerating — and with it, the urgency for informed, decisive action. At the heart of our mission is a commitment to transforming complex geospatial and satellite data into clear, actionable intelligence. We empower faster, smarter decisions in the face of wildfires and their cascading environmental, social, and economic impacts.
By building innovative products that integrate machine learning and geospatial science, and operational excellence, we help our partners detect, monitor, and respond to fire-related risks in real time. Our tools are designed not just to observe the world, but to protect it — enabling frontline responders, scientists, and policymakers to act with clarity and confidence when every second matters. The below is just an orientation and successful candidates may not meet all of these criteria. What you’ll be doing
• Operational Efficiency: Lead and innovate best practices for operational excellence in geospatial data science. Optimize end-to-end geospatial processes for maximum efficiency and scalability.
• Project, Product & Technical Leadership: Be a go-to expert for machine learning in the company, consult acquisition of complex projects and support product development as technology field expert. Mentor team members.
• Industry Impact: Develop and implement state of the art geospatial technologies (IP, research), collaborating with trusted research partners in academia

Customer Interaction: Work closely with clients to understand their needs, ensuring that data acquisition, processing, and analysis provide significant value from initial engagement through final delivery. Relevant Skills
• 4+ years industry experience in applied Data Science and Machine Learning. 2+ years of industry experience if you have a PhD.
• Expertise in clean code practices and collaborative software development and deployment (e.g. Git, Docker)
• ML Experience across multiple domains (e.g. Computer Vision, Multimodal learning, NLP,...) strongly desired
• A drive for operational excellence and user-centric development workflows.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.
• Ability to visualize concepts and translate technical insights into business solutions.
• Proactive and results-driven mindset. High adaptability in a fast-paced environment.

Ways to stand out from the crowd:
• Delivered machine learning based products through the whole lifecycle from first prototype to production use
• Previous experience with MLOps tools
• Previous experience with Machine Learning for geospatial data, particularly satellite images
• Previous experience with vision x language models
• Previous experience with fire modeling or fire behavior (Fire detection, fire spread, fire risk, etc.)

Our Benefits
• Virtual shares for all permanent employees (VSOP=Virtual Share Option Program)
• Corporate health benefit via Wellpass Subscription
• Free Deutschland ticket
• Discount on lunch meals
• Company bike via JobRad
• Modern office in Neue Balan with a wonderful pool and campus area
• Company accident insurance for all employees (insurance for accidents during work and leisure time around the world 24/7)
• Company pension scheme (bAV = Betriebliche Altersversorgung)

We Offer
• A mission-first culture — work that contributes directly to solving climate-related challenges
• Flexible working hours and home office option. Most of us are in the office 2-3 times a week. At least once a week would be expected
• The satisfaction of turning good engineering and science into great products that help people on the ground
• Family-friendly environment – Our office includes a dedicated parents’ room, so you’re supported at every stage of life
• Work when you work best – Whether you’re a night owl or an early bird, our flexible hours let you design a schedule that fits your rhythm