Staff Data Scientist

Confirmed live in the last 24 hours



201-500 employees

Provides SaaS for infrastructure using satellites and AI

AI & Machine Learning
Data & Analytics
Industrial & Manufacturing


San Jose, CA, USA

Required Skills
Microsoft Azure
Data Science
Apache Spark
Data Analysis
Google Cloud Platform
  • 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 visions, and statistical solutions on large image datasets
  • Experience in data analytics methodologies and tools (e.g., Python, SQL, data visualizations)
  • Experience of cloud-based platforms (e.g., Azure, AWS, GCP) and big data technologies (e.g., Hadoop, Spark)
  • 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
  • Experience in storing and processing large-scale geospatial datasets and familiarity with corresponding tech stacks
  • Experience in building AI/ML and computer vision solutions of geospatial datasets (e.g., Satellite, Lidar)
  • Develop and refine models to address environmental challenges like wildfire detection and flood mapping using diverse satellite imagery and data types
  • Improve the accuracy and efficiency of 2D and 3D geospatial data processing using machine learning
  • Enhance AI and vision systems for effective large-scale data analysis
  • Streamline computational processes for faster model performance and design autonomous systems for smart decision-making
  • Continuously update models to ensure relevance and drive innovation through research collaborations
  • Collaborate with cross-functional teams to integrate data science into diverse projects
  • Lead and mentor junior data scientists and analysts providing guidance and oversight on their projects

AiDash offers comprehensive SaaS solutions that optimize critical infrastructure industries like electric, gas, and water utilities, along with transportation and construction, through the use of satellite data and AI technology. This forward-thinking approach not only enhances sustainability and resilience but also delivers tangible cost reductions and reliability improvements for its clients. The company's commitment to achieving significant ROI for customers within the first year of deployment makes it a promising place to work for those interested in contributing to impactful, real-world applications of advanced technology.

Company Stage

Series C

Total Funding



San Jose, California



Growth & Insights

6 month growth


1 year growth


2 year growth