AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities.

Powered by proprietary VegetationAI technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid.

With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks.

AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty.

We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, 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 software companies in Time Magazine's "America's Top GreenTech Companies 2024".

The Role :

As a data scientist at AiDASH, you will turn complex geospatial and operational datasets into actionable insights that drive mission-critical decisions.

You'll build scalable data pipelines, predictive models, and analytics tools that directly support climate resilience and infrastructure reliability.

This role gives you the opportunity to innovate with AI/ML while collaborating closely with cross-functional teams to solve real-world impact problems.

How you'll make an impact :

- Extract, clean, and analyze large datasets from multiple sources using SQL and Python/R.

- Build and optimize data scraping pipelines to process large-scale unstructured data.

- Perform statistical analysis and data mining to identify trends, patterns, and anomalies.

- Develop automated workflows for data preparation and transformation.

- Conduct data quality checks and implement validation procedures.

- Build and validate ML models (classification, regression, clustering) using TensorFlow, Keras, and Pandas.

- Apply feature engineering to enhance accuracy and interpretability.

- Execute experiments, apply cross-validation, and benchmark model performance.

- Collaborate on A/B testing frameworks to validate hypotheses.

- Work on predictive analytics for wildfire risk detection and storm damage assessment.

- Translate complex business requirements into data science solutions.

- Develop predictive models and analytical tools that directly support CRIS decision-making.

- Create interactive dashboards and automated reports for stakeholders.

- Document methodologies and maintain clean, production-ready code repositories.

What we're looking for :

- 4- 5 years of hands-on experience in data science, analytics, or quantitative research.

- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field.

- Strong programming skills in Python for data analysis and machine learning.

- Proficiency in SQL and experience with relational databases.

- Experience with ML libraries (scikit-learn, pandas, NumPy, Keras, TensorFlow).

- Knowledge of statistical methods (clustering, regression, classification) and experimental design.

- Familiarity with data visualization tools (matplotlib, seaborn, ggplot2, Tableau, or similar).

- Exposure to cloud platforms (AWS, GCP, Azure) is a plus.

- Proven experience with end-to-end model development (from data exploration to deployment).

- Track record of delivering actionable insights that influenced business decisions.

- Strong analytical and problem-solving skills with attention to detail.

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, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.