EchoTwin AI is seeking a Data Scientist to drive data-driven decision-making and evaluate the real-world impact of deployed systems, working at the intersection of data analytics, machine learning, and business strategy to provide actionable insights for municipalities.
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.
- Expertise in statistical analysis, machine learning algorithms, and model evaluation techniques.
- 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.
- Experience working with cloud platforms, especially AWS, and deploying models using cloud-based services.
- Familiarity with geospatial analytics and processing spatial datasets.
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.
- Analyze structured and unstructured data to identify trends, anomalies, and opportunities that can enhance product offerings and operational efficiencies.
- 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.
- Conduct exploratory data analysis (EDA) to inform product development and business strategies.
- Contribute to developing scalable data science workflows and best practices within the organization.
Other
- 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.
- 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 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.
