Transportation Data Scientist

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.

Street Light pioneered the use of Big Data analytics to help transportation professionals and data analysts understand mobility behavior. Applying proprietary machine-learning algorithms to over four trillion spatial data points over time, Street Light measures diverse travel patterns and makes them available on-demand via the world’s first SaaS platform for mobility, Street Light InSight® . From measuring traffic volumes to identifying trip origins and destinations, to planning for electric vehicles charging, Street Light powers more than 6,000 global projects every month.

Street Light Data is seeking a creative, versatile, and motivated Data Scientist to be part of our growing team. This team member will be responsible for contributing transportation industry expertise to inform characterization and quality control for Street Light Data’s suite of products. They will help ensure Street Light’s metrics appropriately meet real-world expectations and customer scenarios, and contribute to the development of the analytics and data pipeline as needed.

This position reports to the Data Science Manager, Data and Metrics Quality team.

• Characterize, validate and monitor the quality of Street Light’s metrics, algorithms, and data artifacts.
• Assist with the design and implementation of algorithms to infer key transportation patterns from various data sources.
• Aggregate and process real-world data for modeling and validation efforts.
• Effectively communicate final results to stakeholders, providing thorough documentation and supporting interactive visualizations of data for informed decision-making.
• Own creation of internal technical documentation and customer-facing White Papers.
• Collaborate with other Data Scientists, Data Engineers and Product Managers to ensure data sources meet quality standards.

• BS/MS in Urban Planning, Transportation or an Engineering discipline from a top university, or a PhD focused on quantitative research.
• Experience working with geo-spatial data.
• Prior professional experience in transportation planning or engineering.
• 4+ years of experience in data science and/or statistics, using tools such as Python or R.
• 4+ years of experience in SQL and relational databases (Postgre
  
  SQL or Big Query preferred), and good understanding of database concepts.
• Strong understanding of techniques in data science (machine learning algorithms, regression analysis, etc.)
• Strong analytical skills, experience using data to solve problems, inform decision making, and tell stories.
• An eagerness to problem-solve and desire to take initiative in defining requirements for ambiguous projects.
• Ability to accurately estimate the time requirements for complex tasks, meet those targets, and make compromises to enable scalability and productization of algorithms.
• Highly organized, detail-oriented, and methodical in reporting and documenting work.
• Very strong communication skills—written, visual (presentations) and verbal.
• Technical writing skills. Experience synthesizing complex technical concepts for less technical audiences.
• Quick learner, and a strong team player.
• Experience working with Street Light Data metrics is a plus.

Posted Salary Range Minimum

Posted Salary Range Upper

The base salary range for this position is $ to $. This range reflects the minimum and maximum target for new hire salaries for the position across British Columbia, Canada locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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