Job 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, water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. AiDASH exists to safeguard critical infrastructure and secure the future of humanAIty(TM). Learn more at www.aidash.com

We are a Series C climate tech startup 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 climate software companies in Time Magazine's "America's Top GreenTech Companies 2024". Deloitte Technology Fast 500(TM) recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.

Join us in Securing Tomorrow!

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.

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.