Senior Data Scientist

About Us

EchoTwin AI is revolutionizing automated compliance monitoring for smart cities. Using advanced artificial intelligence and digital twin technologies, we collect real-time data from vehicles, robots, and drones to maintain service, regulatory, and safety compliance, empowering the creation of resilient and sustainable communities.

What The Job Involves

EchoTwin AI is seeking a Data Scientist to drive data-driven decision-making and evaluate the real-world impact of deployed systems. 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. 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.

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.

Act as a data advocate by effectively communicating findings and recommendations to technical and non-technical stakeholders.

Contribute to developing scalable data science workflows and best practices within the organization.

Qualifications

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.

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.

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.

Bonus

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.

Benefits and Perks

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!

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)

401(k) with 3% company matching

Unlimited PTO

Profit sharing

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