Description
About AiDash
AiDash is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, and water utilities, transportation, and construction are transforming asset inspection and maintenance – and complying with biodiversity net gain mandates and carbon capture goals. Our customers deliver ROI in their first year of deployment with reduced costs, improved reliability, and achieved sustainability goals. Learn more at www.aidash.com.
We are a Series C climate tech startup backed by leading investors (including National Grid Partners, G2 Venture Partners, Lightrock, BGV, Marubeni, among others), and by our customers-turned-advocates (Duke Energy & National Grid Partners, among others)! We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers”. We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies2024”.
Join us in creating a greener, cleaner, and safer planet from space!
How you’ll make an impact:
- Lead and execute complex data science projects from conception to implementation
- Develop and implement advanced machine learning models and algorithms
- Perform in-depth statistical analysis and predictive modeling to extract actionable insights
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions
- Mentor junior data scientists and analysts, guiding them in their professional development
- Communicate complex data findings and recommendations to stakeholders and senior management
- Stay current with the latest trends, techniques, and technologies in data science
- Drive innovation and best practices in data science within the organization
What we're looking for:
- Bachelors or master’s in computer science, Data Science, or a related field
- Minimum of 5+ years of experience in a data science role, with a proven track record of leading successful projects
- Experience in building scalable AI/ML, computer visions solutions on image datasets
- Proficient in programming languages such as Python
- Experience of cloud-based platforms i.e., Azure, AWS, GCP and big data technologies i.e., Hadoop, Spark
- Experience in machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work independently and collaboratively in a fast-paced environment
We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, colour, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.
We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.
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