EchoTwin AI

About the Company

EchoTwin AI is a leader in infrastructure intelligence, redefining how cities are managed. Powered by a proprietary visual intelligence engine with full spatial reasoning, EchoTwin transforms municipal fleets into mobile urban sensors--creating living digital twins that provide real-time insights into infrastructure, compliance, and safety. By enabling municipalities to proactively monitor, predict, and resolve issues, EchoTwin helps build resilient, self-healing, and sustainable urban ecosystems. More than "smart cities," EchoTwin is advancing the era of cognitive cities--urban environments with the awareness to see, think, and act on challenges in real time.

Listed Jobs

Company Name

EchoTwin AI

Job Title

Senior Data Scientist

Job Description

**Job Title:** Senior Data Scientist **Role Summary:** Develop data-driven solutions to optimize smart city compliance monitoring systems and evaluate deployed AI technologies’ impact. **Expectations:** Drive strategic decision-making through rigorous data analysis, machine learning, and cross-functional collaboration. Translate complex data findings into actionable business insights. **Key Responsibilities:** - Design and implement scalable data science workflows for compliance monitoring and operational efficiency. - Assess transit performance and deployment impacts using statistical methods, controlling for external variables. - Analyze structured/unstructured data to identify trends, anomalies, and product improvement opportunities. - Operationalize machine learning models via collaboration with engineering teams. - Build dashboards and reports tracking KPIs for transparency and goal alignment. - Conduct exploratory data analysis to guide product and business strategy. - Communicate insights and recommendations to technical and non-technical stakeholders. **Required Skills:** - Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). - Expertise in SQL and data warehouses (Amazon Redshift, Google BigQuery, Snowflake). - Mastery of statistical analysis, machine learning algorithms, and model evaluation. - Experience with data pipeline tools (Airflow, DBT). - Visualization tools (Tableau, Looker) for presenting insights. - Problem-solving with complex datasets and clear communication of findings. **Required Education & Certifications:** - Master’s or PhD in Data Science, Statistics, Computer Science, Economics, or related field. - 5+ years of data science/machine learning experience, demonstrating impactful solutions.

San francisco, United states

On site

Senior

08-10-2025