StreetLight pioneered the use of Big Data analytics to shed light on how people, goods, and services move, empowering smarter, data-driven transportation decisions. The company applies proprietary machine-learning algorithms and data processing resources to measure travel patterns of vehicles, bicycles and pedestrians that enable complex transportation problem solving using analytics available on SaaS platform, StreetLight InSight®. Acquired by Jacobs as a subsidiary in February 2022, StreetLight continues to provide innovative digital solutions to help communities reduce congestion, improve safe and equitable transportation, and maximize the positive impact of infrastructure investment.

Position: Data Scientist (Skunkworks)

Skunkworks is an early-stage product team that does early market, product, and algorithmic/data science research and development, including mockups, trials, and prototypes. This small team will helps push StreetLight and transportation data and industry to the next generation of tools, use cases, and smart policy making and transportation systems. We are looking for a creative, collaborative, and self-driven data scientist with excellent data visualization skills, to power this work. 

This position requires strong data science and structuring skills as well as a strong ability to design visualizations and dashboards that convey insights from data. This job reports to the PM of early-stage products and will collaborate heavily with other data scientists at StreetLight. 

Location: Remote within the US. 

What You'll Do

• Design algorithms and models to infer key transportation patterns from various data sources, both StreetLight’s own data and metrics as well as third party data
• Collaborate with the PM of Skunkworks and other internal teams to turn high-level specifications into clean, accurate analytics and collaborate to convey them via mock-ups, using third party data visualization or custom-built tools
• Collaborate with the PM of Skunkworks and teammates to share insights about what could be learned from this data
• Research academic and other third party sources to design methods to create validation reports for new metrics. This includes developing expertise with important public data sets, such as the census, NHTS, economic survey, and ACS, and important modeling and geospatial programming packages/libraries
• Keep excellent documentation of code and research, to facilitate handing off to internal teams when applicable
• Research and implement suitable strategies (from neural networks to a simple SQL filter, if that’s more actionable) for solving data science problems
• Find and build real-world data sets for training various models and performing validations
• Define and implement customized and/or cutting-edge solutions with pilot customers

• BS/MS in Mathematics, Science, Computer Science, Transportation or Civil Engineering, Transportation, or a similar discipline
• Deep (5 years) expertise and experience in exploratory data analysis and statistics, using tools such as Python or R and PostgreSQL
• Deep (5 years) expertise and skills in data visualization and business intelligence tools such as Tableau and ESRI
• 2 years of experience in SQL and relational databases (PostgreSQL preferred), and good understanding of relational concepts
• Experience working with very large datasets in a SQL environment
• Understanding of techniques in data science (machine learning algorithms, forecasting, regression analysis, etc.)
• Strong data analysis skills, knowing what is/isn't possible 
• Strong data visualization and data story-telling skills, including ability to visualize data in the best way possible
• Good written, visual (presentations), and verbal communication skills 
• Ability to deliver adequate results on deadline, and make compromises to enable scalability and productization of algorithms
• Quick learner, ability to self-direct, and a strong team player

• Knowledge of transportation data/industry is a big plus. This includes working in a transportation-focused role within government, consulting, private-sector mobility, or a non-profit
• Geospatial skills are also a big plus 

StreetLight Data is an equal opportunity/affirmative action employer. StreetLight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.