<div><b><span style="font-size:12pt;">About AiDASH</span></b></div><div><br></div><div><span style="font-size:12pt;">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™. Learn more at </span><a href="http://www.aidash.com/"><span style="font-size:12pt;">www.aidash.com</span></a><span style="font-size:12pt;">    </span></div><div><br></div><div><span style="font-size:12pt;">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”. </span><a href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/topics/north-america-technology-fast-500.html?utm_source=bngaiwebsite&amp;utm_medium=referral&amp;utm_campaign=evolve-banner"><span style="font-size:12pt;">Deloitte Technology Fast 500</span></a><span style="font-size:12pt;">™ 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.  </span></div><div><span style="font-size:12pt;"> </span></div><div><span style="font-size:12pt;">Join us in Securing Tomorrow!</span></div><br><br><h3>How you'll make an impact:</h3><ul><li>Extract, clean, and analyze large datasets from multiple sources using <b>SQL</b> and <b>Python/R</b>.</li><li>Build and optimize <b>data scraping pipelines</b> to process large-scale unstructured data.</li><li>Perform statistical analysis and data mining to identify trends, patterns, and anomalies.</li><li>Develop <b>automated workflows</b> for data preparation and transformation.</li><li>Conduct data quality checks and implement validation procedures.</li><li>Build and validate <b>ML models</b> (classification, regression, clustering) using <b>TensorFlow, Keras, and Pandas</b>.</li><li>Apply <b>feature engineering</b> to enhance accuracy and interpretability.</li><li>Execute experiments, apply cross-validation, and benchmark model performance.</li><li>Collaborate on <b>A/B testing frameworks</b> to validate hypotheses.</li><li>Work on predictive analytics for <b>wildfire risk detection</b> and <b>storm damage assessment</b>.</li><li>Translate complex business requirements into <b>data science solutions</b>.</li><li>Develop <b>predictive models and analytical tools</b> that directly support CRIS decision-making.</li><li>Create <b>interactive dashboards and automated reports</b> for stakeholders.</li><li>Document methodologies and maintain <b>clean, production-ready code repositories</b>.</li></ul><h3>What we're looking for:</h3><ul><li>4–5 years of hands-on experience in <b>data science, analytics, or quantitative research</b>.</li><li>Bachelor’s degree in <b>Data Science, Statistics, Computer Science, Mathematics, Engineering</b>, or related field.</li><li>Strong programming skills in <b>Python</b> for data analysis and machine learning.</li><li>Proficiency in <b>SQL</b> and experience with relational databases.</li><li>Experience with <b>ML libraries</b> (scikit-learn, pandas, NumPy, Keras, TensorFlow).</li><li>Knowledge of <b>statistical methods</b> (clustering, regression, classification) and experimental design.</li><li>Familiarity with <b>data visualization tools</b> (matplotlib, seaborn, ggplot2, Tableau, or similar).</li><li>Exposure to <b>cloud platforms</b> (AWS, GCP, Azure) is a plus.</li><li>Proven experience with <b>end-to-end model development</b> (from data exploration to deployment).</li><li>Track record of delivering <b>actionable insights</b> that influenced business decisions.</li><li>Strong <b>analytical and problem-solving skills</b> with attention to detail.</li></ul><br><div><span style="font-size:inherit;">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. </span></div><div><br></div><div><span style="font-size:inherit;">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. </span></div>

<p>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.</p>

Solution Data Scientists

<div><b><span>About AiDASH</span></b></div><div><br></div><div><span>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™. Learn more at&nbsp;</span><a href="http://www.aidash.com/"><span>www.aidash.com</span></a><span>&nbsp;&nbsp;&nbsp;&nbsp;</span></div><div><br></div><div><span>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.&nbsp; We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.”&nbsp; We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”.&nbsp;</span><a href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/topics/north-america-technology-fast-500.html?utm_source=bngaiwebsite&amp;utm_medium=referral&amp;utm_campaign=evolve-banner"><span>Deloitte Technology Fast 500</span></a><span>™ 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. &nbsp;</span></div><div><span>&nbsp;</span></div><div><span>Join us in Securing Tomorrow!</span></div><br><br><h3>How you'll make an impact:</h3><ul><li>Extract, clean, and analyze large datasets from multiple sources using <b>SQL</b> and <b>Python/R</b>.</li><li>Build and optimize <b>data scraping pipelines</b> to process large-scale unstructured data.</li><li>Perform statistical analysis and data mining to identify trends, patterns, and anomalies.</li><li>Develop <b>automated workflows</b> for data preparation and transformation.</li><li>Conduct data quality checks and implement validation procedures.</li><li>Build and validate <b>ML models</b> (classification, regression, clustering) using <b>TensorFlow, Keras, and Pandas</b>.</li><li>Apply <b>feature engineering</b> to enhance accuracy and interpretability.</li><li>Execute experiments, apply cross-validation, and benchmark model performance.</li><li>Collaborate on <b>A/B testing frameworks</b> to validate hypotheses.</li><li>Work on predictive analytics for <b>wildfire risk detection</b> and <b>storm damage assessment</b>.</li><li>Translate complex business requirements into <b>data science solutions</b>.</li><li>Develop <b>predictive models and analytical tools</b> that directly support CRIS decision-making.</li><li>Create <b>interactive dashboards and automated reports</b> for stakeholders.</li><li>Document methodologies and maintain <b>clean, production-ready code repositories</b>.</li></ul><h3>What we're looking for:</h3><ul><li>4–5 years of hands-on experience in <b>data science, analytics, or quantitative research</b>.</li><li>Bachelor’s degree in <b>Data Science, Statistics, Computer Science, Mathematics, Engineering</b>, or related field.</li><li>Strong programming skills in <b>Python</b> for data analysis and machine learning.</li><li>Proficiency in <b>SQL</b> and experience with relational databases.</li><li>Experience with <b>ML libraries</b> (scikit-learn, pandas, NumPy, Keras, TensorFlow).</li><li>Knowledge of <b>statistical methods</b> (clustering, regression, classification) and experimental design.</li><li>Familiarity with <b>data visualization tools</b> (matplotlib, seaborn, ggplot2, Tableau, or similar).</li><li>Exposure to <b>cloud platforms</b> (AWS, GCP, Azure) is a plus.</li><li>Proven experience with <b>end-to-end model development</b> (from data exploration to deployment).</li><li>Track record of delivering <b>actionable insights</b> that influenced business decisions.</li><li>Strong <b>analytical and problem-solving skills</b> with attention to detail.</li></ul><br><div><span>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.&nbsp;</span></div><div><br></div><div><span>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.&nbsp;</span></div>

Solution Data Scientists

About the Job

About the Company

AiDash

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