Design algorithms to infer key transportation patterns from various data sources
Research and implement suitable strategies (e.g. regression models, ML models, etc.) for solving data science problems
Find and build real-world data sets for training various models and doing quality checks
Productize data science algorithms within our platform, in collaboration with the Application Engineering team
Create visualizations and dashboards to help tell stories with data
Define and implement customized and/or cutting-edge solutions for customers
Requirements & Skills:
BS/MS in Mathematics, Computer Science, or an Engineering discipline. Alternatively, a PhD focused on quantitative research and discovering insights from data is acceptable in lieu of a BS/MS plus experience
3-5 years of experience in data science and/or statistics using a coding language (Python preferred)
2+ years of experience in SQL and relational databases (PostgreSQL preferred), and a good understanding of relational concepts
Strong understanding of techniques in data science (machine learning algorithms, regression analysis, etc.)
Strong data analysis skills, knowing what can/cannot be possible, and the ability to visualize data in the best way possible
Good communication skills – written, visual (presentations), and verbal
Ability to deliver adequate results on deadline, and make compromises to enable scalability and productization of algorithms
