Here at LYT, we are building the world’s first cloud-based, truly automated traffic management platform using sophisticated ML and AI to optimize existing transportation infrastructure making people’s commutes shorter and the roads safer.
This cloud-based AI creates the optimal flow of traffic for all vehicles in a city, a county, and beyond. This reduces fuel consumption, reduces carbon emissions, reduces accidents, and reduces the time all of us spend commuting.
We’re looking for highly motivated people who are just as passionate as we are about ending traffic in our communities and making them livable for everyone.
Role: Senior Data Scientist
Location: Santa Clara, CA and/or Remote
Must have authorization to work in the United States. LYT does not sponsor work visas.
- Identify and work toward solving a variety of complex, large-scale mobility data challenges in the organization
- Build data pipelines, develop data models, and analyze a variety of data sources ingested by LYT platform
- Collaborate with engineering team to enhance machine learning platform to support new and existing product offerings
- Generate visualizations to communicate insights and analytics findings
- 5+ years data science experience
- Strong programming skills in Python, data-querying skills (SQL, etc), and data processing scripting
- Experience applying various machine learning techniques and understanding the key parameters that affect their performance.
- Experience developing experimental and analytic plans for data modeling processes and demonstrated ability to accurately determine cause and effect relationships.
- Excellent at creating data models for high performance and scalability
- Strong ability to work independently and create detailed work plans from broad directives
- Ability to manage multiple projects and stakeholders with critical timelines
- Eager to learn new programming languages and tools when needed
- Ability to communicate and collaborate across teams to solve problems
- Excellent verbal and written communication skills in English
BS or higher in a quantitative field such as computer science, mathematics, or engineering