🔍 Staff Data Scientist 🔍
📍 Location: San Jose, California, United States
📊 Category: Data Science – Data Science
⏰ Job Type: Full Time / Hybrid

What will you do?
✨ Develop and refine models to address environmental challenges like wildfire detection and flood mapping, utilizing diverse satellite imagery and data types for comprehensive analysis.
✨ Improve the accuracy and efficiency of 2D and 3D geospatial data processing using machine learning, and enhance AI and vision systems for effective large-scale data analysis.
✨ Streamline computational processes for faster model performance, design autonomous systems for smart decision-making, and continuously update models to ensure relevance.
✨ Drive innovation through research collaborations and the pursuit of new ideas for AI/ML advancements.
✨ Collaborate with cross-functional teams, including engineering, product, and business units, to integrate data science into diverse projects.
✨ Lead and mentor junior data scientists and analysts, providing guidance and oversight on their projects.

What are we looking for?
🎓 Bachelors or Master's in Computer Science, Data Science, or a related field.
📊 Minimum of 7+ years of experience in a data science role, with a strong emphasis on machine learning and statistical analysis.
🖼️ Experience in building scalable feature extractors on image datasets.
🔍 Experience in delivering scalable AI/ML, computer vision, and statistical solutions on large image datasets.
📊 Experience in data analytics methodologies and tools i.e. Python, SQL, and data visualizations.
☁️ Experience with cloud-based platforms i.e., Azure, AWS, GCP, and big data technologies i.e., Hadoop, Spark is highly desirable.
💻 Proficient in machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
💡 Excellent problem-solving and analytical skills.
🤝 Demonstrated ability to lead projects and work effectively in a team environment.
💬 Strong communication skills, with the ability to explain complex concepts to non-technical audiences.

What other experience will make you a great candidate?
🌍 Experience in storing, processing large-scale geospatial datasets and familiarity with corresponding tech stacks.
🛰️ Experience in building AI/ML and computer vision solutions for geospatial datasets i.e., Satellite, Lidar.

📝 Important Note:
All company names, logos, and trademarks are the intellectual property of their respective owners. This information provides a general overview and may not encompass all responsibilities and qualifications required for the role.