Senior Data Scientist
fulltime
Expired
Employment Information
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Who is 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.
What will you do?
- 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 modelling 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 are we 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.