About Us
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
What the job involves:
The Data Quality Analyst will design and execute critical quality efforts for our connected platform and data service. In this role you will coordinate with machine learning, cloud, device, and operations teams to set, measure, and report on key product performance indicators.
This Quality Engineering team ensures that our product performs accurately, reliability, and consistently across a range of conditions and business rules. We work with a breadth of technologies including machine learning, embedded software, data pipelines, cloud infrastructure, web portal, and mobile hardware.
The analyst has a strong ownership, be customer focused, and excel in a dynamic environment. They will have experience launching best-in-class quality products, and building the foundations to scale efforts for the future.
Responsibilities:
Measure data system performance end-to-end, using both manual and automated methods
Work with engineering teams to develop and set data quality standards
Build reports, dashboards, and queries for key performance indicators
Write scripts in Python or other scripting language to automate data analysis and create reports.
Build a deep understanding of customer use cases to identify risk, and gather the right data to influence change
Investigate patterns and anomalies
Help develop data safeguards and monitoring systems to ensure quality
Qualifications:
B.S. in an engineering discipline or equivalent.
2+ years experience in data analysis or data quality domains.
2+ years of experience working on data products.
Experience measuring performance of complex systems in real world applications
Track record driving data quality with multidisciplinary technical teams
Transportation domain experience a plus
Skilled in data query and reporting tools and techniques.