EchoTwin AI
Senior Data Scientist
San Francisco Office · Senior
Sponsorship not specifiedDetected 319 days ago
PythonAlgorithmsSQLBigQueryRedshiftAWSCloud PlatformsMachine LearningTensorFlowscikit-learnPandasNumPyAirflowdbtData AnalysisData ScienceData VisualizationComputer VisionStatisticsLeadershipCommunicationProblem Solving
About the role
- Company Overview EchoTwin AI is pioneering AI-driven infrastructure intelligence, redefining how cities are managed.
- More than "smart cities," EchoTwin is advancing the era of cognizant cities-urban environments with the awareness to see, think, and act on challenges in real time.
- As a key member of our small but impactful team, you will work at the intersection of data analytics, machine learning, and business strategy to provide actionable insights.
Responsibilities
- Design and implement data-driven solutions to support strategic decision-making across the company.
- Develop rigorous methods to assess transit performance and broader impacts across all deployment stages, controlling for confounders and external factors.
- Collaborate with engineering teams to operationalize models and ensure seamless integration into our data pipelines.
- Build and maintain dashboards and reports that track key performance indicators (KPIs) to provide transparency and drive business goals.
- Contribute to developing scalable data science workflows and best practices within the organization.
- By enabling municipalities to proactively monitor, predict, and resolve issues, EchoTwin helps build resilient, self-healing, and sustainable urban ecosystems.
- EchoTwin AI is seeking a Data Scientist to drive data-driven decision-making and evaluate the real-world impact of deployed systems.
- This role offers a unique opportunity to collaborate with transit agencies, product teams, finance, engineering, and company leadership to solve complex problems and unlock new opportunities using data.
- At EchoTwin AI, we value excellence regardless of background and are committed to building a team that reflects the communities we serve.
Requirements
- Proficiency in Python and experience with data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Strong experience with SQL and working knowledge of data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.
- Familiarity with data pipeline tools and frameworks such as Airflow, DBT, or similar.
- Experience working with visualization tools like Tableau or Looker to translate insights into actionable recommendations.
- Excellent problem-solving skills with the ability to analyze complex data and provide clear, data-driven insights.
- Strong communication skills with the ability to present findings to both technical and business audiences.
- Experience working with cloud platforms, especially AWS, and deploying models using cloud-based services.
- Familiarity with geospatial analytics and processing spatial datasets.
- Experience working with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).
- Prior experience in a startup environment and a desire to make a significant impact.
- Master's or PhD in Data Science, Statistics, Computer Science, Economics, or a related field.
- 5+ years of experience in data science, machine learning, or a related field, with a track record of delivering impactful data solutions.
- Expertise in statistical analysis, machine learning algorithms, and model evaluation techniques.
- Benefits and Perks
Benefits
- Options for medical, dental, and vision coverage for employees and dependents (for US employees)
- Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)
- Profit sharing
Equal opportunity
- Equal Opportunity Employer.
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This listing is sourced directly from EchoTwin AI's careers page and normalized into a canonical job model.